View/Download PDF
Original Article
7 (
3
); 135-144
doi:
10.4103/apos.apos_48_17
PDF

Comparison between Still Photography and Videography for Smile Analysis

Department of Orthodontics and Dentofacial Orthopedics, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra., India
Address for correspondence: Dr. Jyoti Chaudhary, Department of Orthodontics and Dentofacial Orthopedics, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India. E-mail: jyotichaudhary631@gmail.com
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
Disclaimer:
This article was originally published by Wolters Kluwer and was migrated to Scientific Scholar after the change of Publisher of the Journal; therefore Scientific Scholar has no control over the quality or content of this article.
How to cite this article: Chaudhary J, Agarkar S, Manerikar R, Rahalkar J. Comparison between Still photography and videography for smile analysis. APOS Trends Orthod 2017;7:135-44.

Abstract

Introduction

The aim of this systematic review was to compare still photography and videography for smile analysis.

Materials and Methods

Based on the available data, two authors conducted an electronic database PubMed search from January 1, 2000, to December 31, 2015, and ten strategies were designed using five keywords along with their respective synonyms. Twelve articles were shortlisted for the systematic review.

Results

The search yielded 91 articles, of which 12 were included based on the selection criteria. Of these 12, five concluded videography compared to be a better tool. Seven articles had variable conclusions based on the study setting and population evaluated.

Conclusions

Digital video clips offer a tremendous amount of information for analyzing the dynamic character of the smile, but a standard digital photograph allows for immediate viewing.

Keywords

Digital photograph
smile
smile analysis
smile esthetics
video clip

Introduction

The smile plays an important part in orthodontic diagnosis and treatment planning. This has been recognized since the beginning of our specialty, and in the current esthetically oriented society, it seems to play a central part in self-perception and social image.[1]

Conventionally, photography is used for an orthodontic record, but new videographic and computer technologies have enabled other diagnostic assessments. As part of a facial esthetics evaluation, a clinician studies lip function and posture. During this evaluation, a patient is often asked to smile and a split-second image of that dynamic action is captured on a still photograph. This photograph, used as part of the diagnostic process to determine a course of treatment, remains as a permanent record in the patient’s chart. If we want to depend on a still photograph to reflect the esthetics of patient’s smile, it is necessary to capture a true representation of that smile. For instance, if the photograph was taken a few seconds earlier or later, would it show the same smile? If a different directive was used to elicit a smile, would it trigger the same response? Would videography rather than photography provide a more effective diagnostic impression? Studies in the psychology literature have found that people are better able to detect posed emotion from motion photography than from still photography.[2-8]

Analysis of orofacial esthetics during spontaneous smiling and speaking is now feasible because the optimal record can be selected from a video registration. The use of digital videography to capture an authentic, spontaneous smile combined with digital measurements has been tested lately, and it appeared to be reliable, reproducible, and valid for use in clinical practice.

Materials and Methods

This study was conducted and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA).

Study screening criteria

Before the study, a screening protocol was developed, and the following inclusion and exclusion criteria were established.

Inclusion

  1. Studies that provide information on comparison between still photography and videography

  2. Study published between January 1, 2000, and December 31, 2015

  3. Study written in English or should have a detailed summary in English.

Exclusion

  1. On-going studies

  2. Reviews, abstracts, letters to editors, editorials, and in vitro studies

  3. Studies that did not use any standardized method of photography and videography

    • Search strategy for the identification of studies

    • An electronic database (PubMed) search was performed for articles published in the dental literature using the following search strategy. Two reviewers have included the studies for this systematic review.

Study selection

Preliminary screening consisted of 91 articles, of which 25 articles were selected. The papers were screened independently by one reviewer (JC) and cross-checked by another reviewer (SA). At first, the papers were screened by title and abstract. As a second step, full-text papers were obtained when they fulfilled the criteria of the study aim. For full-text screening, the following criteria were taken into consideration: randomized controlled trials, controlled clinical trials, comparative studies, observational studies, case reports, and twin studies. The keywords and search strategy used are shown in Tables 1 and 2. Finally, a total of 12 articles were included after duplicate removal. Studies excluded were not answering the framed question in any form. All the articles selected in the electronic and manual searches were evaluated independently by the first and the second author in accordance with the established inclusion criteria. Any disagreement between the two reviewers was resolved after additional discussion [Figure 1].

Table 1: Keywords
Keywords Synonyms
Smile Laugh, dynamic smile
Digital photograph Digital image, picture, photograph, portrait, still photography
Video clip Video recording, motion picture, videography
Smile esthetics Attractiveness
Smile analysis Smile evaluation
Table 2: Search strategy
Serial number Search strategy Number of articles Number of selected articles After duplicate removal
1 Digital photographs and smile esthetics 10 3 3
2 Digital image and smile evaluation 5 3 1
3 Photography and smile esthetics 58 10 7
4 Videography and smile 2 2 1
5 Video clip and dynamic smile 1 0 0
6 Videography and dynamic smile evaluation 1 1 0
7 Photography and dynamic smile evaluation 4 1 0
8 Photography and dynamic smile esthetics 6 3 0
9 Digital videography and smile analysis 1 1 0
10 Digital videography and digital image 3 1 0
Total   91 25 12

Results

The database search showed 91 articles listed in PubMed. Twelve articles were selected after duplicate removal. Using the PRISMA flow diagram, an overview of the article selection process is illustrated in the flowchart.

A standard pilot form in Excel Sheet was initially used, and then, all those headings which were not applicable for our review were removed. Data extraction was done for one article initially and this form was reviewed by an expert and finalized. This was followed by data extraction for all the articles.

A summary of the main findings and the data regarding participants, intervention, comparisons, outcomes study design (PICOS) in this systematic review is presented in Table 3.

Table 3: Data extraction
Study ID Place of study Year of publication Population Intervention Method to elicit smile Assessment parameter Outcome of the study Conclusion
1 University of Michigan 2010 12-20 years Photography and videography For clinical photography - photographer instructed the individual to smile.
For digital videography - individuals were asked to smile and then relax lips three separate times with lips lightly touching together. Asked to smile until told to relax
Maximum incisor exposure, upper lip drape, lower, lower lip to maxillary incisor, interlabial gap, smile width, smile index, commissure corridor, buccal corridor, upper lip height, lower lip height A significant difference found between 7 of the 14 mean smile mesh measurements and they are maximum incisor exposure, upper lip drape, buccal corridor right, left, ratio, upper lip height, lower lip height. All showed moderate to strong relation with each other (P=0.47-0.82; P<0.001) other than lower lip to maxillary incisor A significant positive correlation was noted between smile mesh measurements obtained from smiles captured by clinical photography and digital video clips. Digital video clips offer a tremendous amount of information for analyzing the dynamic character of the smile, but a standard digital photograph allows for immediate viewing and is a valid tool for analysis of the posttreatment smile
2 New York University 2013 20-49 years, 11 men and 11 women Photography and videography Two cameras arranged, each individual photographed and videotaped simultaneously. Still photography - two photographs taken, first by saying “give me a nice big smile, that shows your teeth” and second by showing a poster Commissure to commissure, vermilion upper to lower lip, superior to inferior lower lip, upper incisal edge to inferior upper lip, to vermilion upper lip and interpupillary line, intercanthal distance No statistically significant differences were found between smile measurements taken on day 1 and 2 except commissure to commissure distance between visually commanded smile on day 1 and 2 and in verbally commanded smiles only difference was in intercanthal distance recorded on day 1 and 2 The following are our specific conclusions
  Posed smiles can be reliably reproduced as measured objectively, but, subjectively, differences were noted
When the entire face is visible, practitioners can detect important differences between posed and spontaneous smiles. However, this ability is decreased when only the smile is shown
Spontaneous smiles are preferred to posed smiles by professional diagnosticians
Videography provides diagnostic information that cannot be obtained with still photography alone
Video images are preferred to still images by professional diagnosticians
3 Radboud University 2011 20-55 years Videography For spontaneous smile -funny jokes from a film shown. Smiling with maximum visibility of teeth and gingivae were selected Smile line - measurement of most incisal point line and lip edge, interpupil line For four-grade scale estimation - kappa values were slightly lower. Posterior-tooth kappa values for spontaneous smiling varied between moderate and substantial. Significant correlation for rating errors of smile line height of spontaneous smiling (CI: r=0.20, P=0.026; second PM:r=-0.26, P=0.007) Smile line analysis can be performed reliably with semiquantitative estimation by using a three-grade scale. For a more comprehensive diagnosis, additional measuring is proposed for patients with disproportional gingival display
4 University ol Michigan 2009 12-20 years Photography and videography For clinical photography - photographer instructed the individual to smile. For digital videography -individuals were asked to smile and then relax lips 3 separate times with lips lightly touching together. Asked to smile until told to relax Smiles from digital video clips and clinical photographs Clinical photography - Q-sort and VAS scores of smiles were highly variable among raters. Correlation coefficients vary from -1 to +1 The findings of this investigation are as follows
  The Q-sort was more reliable than the VAS for measuring the esthetics of the smile
Orthodontists and parents of orthodontic patients agreed with respect to “attractive” and “unattractive” smiles. Orthodontists rated more smiles “attractive,” but this difference was not significant
Men and women agreed poorly with respect to “attractive” and “unattractive” smiles. Women rated significantly more smiles as “attractive” than males
5 Perking university school 2013 20-35 years Videography A laptop was placed at individual’s eye level behind camera showing three 1 min long comedic film to capture spontaneous smile Commissure to commissure dynamic smile and upper lip curvature Female individuals showed higher percentage of commissure smile, upper curvature and lower percentage of cuspid smile, downward curvature during dynamic smile than male individuals (P<0.05) In upper lip curvature and smile classifications, differences clearly exist based on race, when comparing Chinese individuals with those of Caucasian descent, and gender
6 University of North Carolina 2002 Not mentioned Videography The patient is asked to say the sentence “Chelsea eats cheesecake on the Chesapeake,” relax, and then smile Maximum incisor exposure, upper lip drape, lower, lower lip to upper incisor, interlabial gap, upper - 3 or 4 width, smile width, midline offset, smile index, commissure right left and tooth above below intercommissure, corridor, buccal corridor right left and ratio, smile arc, upper lip thickness, lower lip thickness Clinician should rank smile attributes in order of their importance in creating a balanced smile Smile analysis and smile design generally involve a compromise between two factors that are often contradictory: the esthetic desires of patient’s anatomic and physiologic limitations. Using digital video and computer technology, the clinician can evaluate the patient’s dynamic anterior tooth display and incorporate smile analysis in to routine treatment planning
7 University of North Carolina 2003 Not mentioned Photography and videography The patient is asked to say the sentence “Chelsea eats cheesecake on the Chesapeake,” relax, and then smile Commissure height, philtrum height, interlabial gap, incisor shown at rest, crown height, gingival display, smile arc, percentage of incisor display on smile Direct measurement permits the clinician to quantify resting and dynamic lip-tooth relationships. Philtrum and commissure height, interlabial gap, incisor show at rest and smile, crown height, gingival displace, and smile arc measured systematically Visualization and quantification of the dynamics of the smile is a 2-stage process. The first crucial step is the clinical examination. The key element in this evaluation is the direct measurement of lip-tooth relationships both dynamically and in repose. Record taking is the second step in this process. These records are taken frontally and obliquely to allow for a three-dimensional description of smile characteristics
8 Shiraz University of Medical Sciences 2010 18-25 years Photography Posed smile Buccal corridors Regarding the male individual, art students rated 10% buccal corridor most attractive, 28% least attractive, but dental students rated 15% best and 28% buccal corridor the least attractive. The data provided no significant differences (P>0.05) between the male and female judges or between male and female individuals for each of the images using Mann-Whitney test Minimal or excessive buccal corridors should be included in the problem list during orthodontic diagnosis and treatment planning. Dental students are more discriminating about buccal corridor changes. No significant differences are found n between male and female judges from art and dental students in judging smile attractiveness with varying levels of smile fullness. Laypeople and art and dental students-n dents prefer smaller buccal corridors for male individuals and larger buccal corridors for female individuals
9 Peking University, Charite University 2012 20-35 years Photography Numerous images of each individual were taken, and the one with the maximum enjoyment smile was selected Tooth display, gingival display and papillary display Complete display of lateral incisor and first premolar is found more frequently in Chinese than in Caucasian. Chinese women show more gingiva, papilla than men In upper lip curvature and smile classifications, differences clearly exist based on race, when comparing Chinese individuals with those of Caucasian descent, and gender
10 University of Michigan 2009 12-20 years Photography Photographer instructed the individual to smile Maximum incisor exposure, upper lip drape, lower, lower lip to maxillary incisor, interlabial gap, smile width, smile index, commissure corridor, buccal corridor, upper lip height, lower lip height Objective-smiles with greater distance between incisal margin of maxillary incisors and lower lip were considered most unattractive. Individuals with excessive height of smile or deficient smile width were considered most unattractive The findings of this investigation showed the following
  Mean differences of the smile mesh measurements between individuals with attractive or unattractive smiles were not significant
Extremely unattractive smiles were characterized by a greater distance between the incisal margin of the maxillary incisor and lower lip and by excessive height of the smile or deficient smile width
No smile mesh measurement could predict an attractive or unattractive smile
11 Eastman Dental Institute 2012 25 years or older Photography Smile of lower 1/3 of face captured Occlusal plane 10° rated as most attractive by patients and 15° smile as most attractive by dentist Patients tended to rate the 10° smile better than 0° and 20° smiles, and dentists tended to rate the 15° smile better than 0° and 20° smiles. Patients showed higher tolerance to occlusal plane changes (accepting 5°, 10°, and 15° smiles) than did dentists (accepting 10° and 15° smiles). This study suggested that large changes in the occlusal plane angle would affect relative smile attractiveness, but small changes are unlikely to affect smile attractiveness
12 Radboud University Nijmegen Medical Centre 2008 20-55 years Videography For spontaneous smile -funny jokes from a film shown. Smiling with maximum visibility of teeth and gingivae were selected Maxillary and mandibular lip-line heights, tooth display, and smile width Maxillary lip-line heights during spontaneous smiling are higher than during posed smiling Spontaneous smiling should be the logical focus point for the esthetic diagnosis of lip-tooth relationship during smiling. The fast onset and fading out of a spontaneous smile makes it impossible to capture in the right moment with a static photograph. Therefore it is proposed to switch from static to dynamic video recording of the smile for diagnostic purposes

PICOS

  • P-Participants: Individuals

  • I-Intervention: Videography

  • C-Comparison: Photography

  • O-Outcomes: Smile

  • S-Study designs: Comparative studies.

Description of various studies

As previously mentioned, there are twelve studies which were conducted mainly in the United States, United Kingdom, Netherland, Germany, Iran, and China and were published between 2002 and 2013. Their main objectives were to compare and evaluate smile esthetics using videography and photography. The age of the participants ranged from 12 to 55 years. Some studies showed significant differences among the spontaneous smile and posed smile using videography and photography. Some studies concluded that digital video clips offer a tremendous amount of information for analyzing the dynamic character of the smile, but a standard digital photograph allows for immediate viewing and is a valid tool for analysis of the post-treatment smile and some found the need to continue to investigate and standardize the methods of eliciting and recording a smile of diagnostic quality. The fast onset and fading out of a spontaneous smile makes it impossible to capture the right moment with a static photograph. Therefore, it is proposed to switch from static to dynamic video recording of the smile for diagnostic purposes.

Figure 1: Flow diagram of the article-selection process

Discussion

This systematic review assessed the existing evidence on the esthetics of smile and the relationship between smiles captured by clinical photography and smile images obtained from digital video clips. Because esthetic concerns have become more critical in orthodontic diagnosis and treatment planning, a fundamental question arises: Are standard static records obtained routinely by orthodontists capable of capturing the smile accurately?

The literature has addressed many aspects of the smile, but only a few studies have been touched on the aspect of the reproducibility of the smile by videography and photography together.

Walder et al.[9] analyzed smiles of 22 individuals simultaneously by videography and photography on two separate occasions. Objective measurements showed that the posed smile prompted with a visual or a verbal clue, or taken on day 1 or 2 can be reliably reproduced, whether captured by videography or still photography. However, subjectively, the panel members detected differences between the posed smiles taken on different days 80% of the time.

Schabel et al.[10] used the Smile Mesh program in their study to quantify and compare 14 characteristics of smiles captured by clinical photography and digital videography. A significant difference was found between 7 of the 14 mean Smile Mesh measurements. These were maximum incisor exposure, upper lip drape, buccal corridor right, left, buccal corridor ratio, upper lip height, and lower lip height. Other than lower lip to maxillary incisor, all showed moderate to strong relation with each other (P values 0.47–0.82; P < 0.001). In other studies, Schabel et al.[11,12] evaluated the reliability of and the relationship between the Q-sort and visual analog scale methods used to measure esthetic preferences. Kappa agreement and the McNemar test were used to evaluate the level of agreement between orthodontists and parents for “attractive” and “unattractive” images of smiles captured with clinical photography. A statistically significant result (P < 0.05) of the McNemar test indicated that the raters disagreed on the percentage of “attractive” images.

Sarver and Ackerman[13] and Ackerman and Ackerman[14] described the evolution of smile analysis and reviewed the dynamic records needed. They concluded that visualization and quantification of the dynamics of the smile is a two-stage process. The first crucial step is the clinical examination and second is record taking.

Van Der Geld et al.[15] used records of spontaneous smiling next to posed smiling; diagnostics can be improved so that they approach the daily perceptions of patients by their social analysis. They found that for four-grade scale estimation, kappa values were slightly lower. Posterior-tooth kappa values for spontaneous smiling varied between moderate and substantial. Significant correlation for rating errors of smile line height of spontaneous smiling (Central incisor: r = 0.20, P = 0.026; second premolar: r = −0.26, P = 0.007).

Oshagh et al.[16] addressed one of the numerous factors determining smile esthetics and showed that, generally, dental students, art students, and laypeople do not prefer smiles with minimal and excessive buccal corridors for both male and female individuals. They concluded that regarding the male individuals, art students rated 10% buccal corridor as most attractive and 28% least attractive, but dental students rated 15% buccal corridor the best and 28% buccal corridor the least attractive. Art and dental students rated 22% buccal corridor the best and 2% buccal corridor the least attractive in female individuals. Laypeople rated 10% buccal corridor the best in male and 15% in female individuals. They rated 28% buccal corridor the least attractive in both genders. The data provided no significant differences (P > 0.05) between the male and female judges or between male and female individuals for each of the images using Mann–Whitney test.

Batwa et al.[17] measured the occlusal plane angle to the true horizontal rather than to the sella-nasion line. The occlusal plane range that was investigated in this study was 0–20° to the true horizontal. 10° rated as most attractive by patients and 15° smile as most attractive by dentist.

Van Der Geld et al.,[18] Liang et al.,[19] and Hu et al.[20] used the videographic method to capture spontaneous smiling and posed smiling images reproducibly. The spontaneous smile is a more relevant emotion than a photographic posed smile and approaches the way patients are perceived by their social environment. For most patients, the outcome of orthodontic therapy is directly related to visible improved dentofacial attractiveness and not so much to the more invisible occlusal relationships according to scientific standards. The central question in these studies was whether the use of posed smile rather than spontaneous smile is sufficient as a diagnostic record for facial esthetics and, more specifically, lip-tooth relationships. They concluded that the fast onset and fading out of a spontaneous smile makes it impossible to capture the right moment with a static photograph. Therefore, it is proposed to switch from static to dynamic video-recording of the smile for diagnostic purposes. Experiences of plastic surgeons, oral and maxillofacial surgeons, and orthodontists show that (digital) video registration in clinical practice is feasible.

Limitations

Overall, studies lacked a standardized technique to investigate the method of eliciting and recording a smile of diagnostic quality.

Conclusions

Digital video clips offer a tremendous amount of information for analyzing the dynamic character of the smile, but a standard digital photograph allows for immediate viewing and is a valid tool for analysis of the post-treatment smile.

Posed smiles can be reliably reproduced as measured objectively, but, subjectively, differences were noted. Spontaneous smiles are preferred to posed smiles by professional diagnosticians.

Video images are preferred to still images by professional diagnosticians. Videography provides diagnostic information that cannot be obtained with still photography alone.

Future implications

In orthodontic treatment planning, certain treatment modalities (in particular, intrusion, extrusion, and expansion) are based on an analysis of the full spontaneous smile. Since the videographic method is better able to capture this smile, it may be a preferred method of obtaining pre- and post-treatment facial photographs.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

References

  1. , , . The emerging soft tissue paradigm in orthodontic diagnosis and treatment planning. Clin Orthod Res. 1999;2:49-52
    [CrossRef] [PubMed] [Google Scholar]
  2. , , . The influence of facial animation on smile characteristics. Int J Adult Orthodon Orthognath Surg. 1988;3:233-9
    [CrossRef] [Google Scholar]
  3. , , . The gingival smile line. Angle Orthod. 1992;62:91-100
    [Google Scholar]
  4. , , . Anatomy of the nasolabial fold: The keystone of the smiling mechanism. Plast Reconstr Surg. 1989;83:1-10
    [Google Scholar]
  5. . The anatomy of a smile: Its importance in the treatment of facial paralysis. Plast Reconstr Surg. 1974;53:384-7
    [CrossRef] [Google Scholar]
  6. , , . The shape of a normal smile: Implications for facial paralysis reconstruction. Plast Reconstr Surg. 1994;93:784-9
    [Google Scholar]
  7. , . Perception of emotion: Differences in mode of presentation, sex of perceiver, and role of expressor. CRC Rep. 1968;18:1-61
    [CrossRef] [Google Scholar]
  8. , . Experimental studies on the symbolism of action and voice: A study of the specificity of meaning in facial expression. Q J Speech. 1938;24:424-35
    [CrossRef] [Google Scholar]
  9. , , , , . Photographic and videographic assessment of the smile: Objective and subjective evaluations of posed and spontaneous smiles. Am J Orthod Dentofacial Orthop. 2013;144:793-801
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , . Clinical photography vs. digital video clips for the assessment of smile esthetics. Angle Orthod. 2010;80:490-6
    [Google Scholar]
  11. , , , . Q-sort assessment vs. visual analog scale in the evaluation of smile esthetics. Am J Orthod Dentofacial Orthop. 2009;135(4):S61-71
    [Google Scholar]
  12. , , , . Subjective vs. objective evaluations of smile esthetics. Am J Orthod Dentofacial Orthop. 2009;135(4):S72-9
    [CrossRef] [PubMed] [Google Scholar]
  13. , . Dynamic smile visualization and quantification: Part 1. Evolution of the concept and dynamic records for smile capture. Am J Orthod Dentofacial Orthop. 2003;124:4-12
    [Google Scholar]
  14. , . Smile analysis and design in the digital era. J Clin Orthod. 2002;36:221-36
    [CrossRef] [Google Scholar]
  15. , , , . Smile line assessment comparing quantitative measurement and visual estimation. Am J Orthod Dentofacial Orthop. 2011;139:174-80
    [Google Scholar]
  16. , , . Evaluation of the effect of buccal corridor size on smile attractiveness. Eur J Esthet Dent. 2010;5:370-80
    [Google Scholar]
  17. , , , . Effect of occlusal plane on smile attractiveness. Angle Orthod. 2012;82:218-23
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , . Tooth display and lip position during spontaneous and posed smiling in adults. Acta Odontol Scand. 2008;66:207-13
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , . Analysis of dynamic smile and upper lip curvature in young Chinese. Int J Oral Sci. 2013;5:49-53
    [Google Scholar]
  20. , , , . Analysis of soft tissue display in Chinese subjects during an enjoyment smile. Quintessence Int. 2012;43:105-10
    [Google Scholar]
Show Sections