A Comparative Study of Assessment of Dental Appearance by Dentists, Dental Technicians, and Laymen Using Computer‐Aided Image Manipulation

Wagner, I V; Carlsson, Gunnar; Ekstrand, Karl; Odman, P; Schneider, Nils

doi:10.1111/j.1708-8240.1996.tb00893.x

Cited by 45 publications

(41 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Few have sought to obtain the opinions of dental technicians, 11 who are integral to the process of providing a successful outcome if fi xed or removable prosthodontic restorations are provided. In other research of a similar nature, a number of different approaches have been used in an attempt to test the reliability of the participants.…”

Section: Discussionmentioning

confidence: 99%

The influence of varying maxillary incisal edge embrasure space and interproximal contact area dimensions on perceived smile aesthetics

et al. 2010

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

The influence of varying maxillary incisal edge embrasure space and interproximal contact area dimensions on perceived smile aesthetics

et al. 2010

View full text Add to dashboard Cite

“…The image manipulations are presented in [ Figure 1]. [8] Each page had three photographs of each volunteer, including the three types of smile, for a total of 12 pages with 36 photos, and all of which were computer-modified by a single professional of the informatics field. Adobe Photoshop CS4 was used for image modification, similarly to previous studies.…”

Section: Methodsmentioning

confidence: 99%

“…Adobe Photoshop CS4 was used for image modification, similarly to previous studies. [2,[7][8][9] The album was mounted with pages numbered from 1 to 12, and each photograph was marked with the letters a, b or c, following the sequence seen by the examiner. The esthetic evaluation was performed using the adapted visual analog scale [ Figure 2].…”

Section: Methodsmentioning

confidence: 99%

“…[6] The lowest esthetic perception found in this current study was related to the reverse smile, as reported by the three social classes, which is in agreement with the results achieved in other studies. [8] Sarver [15] indicated the importance of the smile line for dentofacial esthetics. When the incisal edges of the maxillary central incisors appear below the cusps of the canines, the smile line looks convex and harmonious with the line of the lower lip.…”

Section: [3]mentioning

confidence: 99%

See 1 more Smart Citation

Variations in the perception of the smile line according to examiners from three different social classes

Ribeiro¹,

Porto²,

Segundo³

et al. 2015

sjod

View full text Add to dashboard Cite

Objective: This study assessed the variations in the perception of the smile line, according to examiners from three different social classes in the City of Cuiaba, Brazil. Materials and Methods: A total of 12 smile photographs were taken of female students. These photographs were then classified according to the smile line profile presented by each volunteer (ideal, straight and reverse smile line). We selected which side of the smile matched the esthetic norms; later, the smile photographs were digitally duplicated and modified to obtain a symmetrical smile. After the changes were made, each volunteer was classified into the appropriate category. According to this classification, we carried out the alterations in the other two types of smile photos and placed them in an album for subsequent evaluation of the three types of smiles by examiners from three different social classes: A, B and C. Results: There was a lower satisfaction of the subjects with regards to the reverse smile for the examiners from Class A. The lowest satisfaction for the Class B examiners was related to the reverse smile. Data of the comparisons among the Class C examiners revealed no statistical difference between groups (P > 0.05). Conclusion:There was no statistical difference between the ideal and straight smiles.

show abstract

“…Most current network analysis tools such as WireShark [21], Nagios [8], and INAV [25], focus on traffic diagnosis tasks. Data is collected from different protocols and visualized in forms of log tables or summarized graphs.…”

Section: Network Traffic Visualization Toolmentioning

confidence: 99%

Network stack diagnosis and visualization tool

Wongsuphasawat

Artornsombudh

Nguyen

et al. 2009

Proceedings of the Symposium on Computer Human Interaction for the Management of Information Technology

View full text Add to dashboard Cite

End users are often frustrated by unexpected problems while using networked software, leading to frustrated calls to the help desk seeking solutions. However, trying to locate the cause of these unexpected behaviors is not a simple task. The key to many network monitoring and diagnosis approaches is using cross-layer information, but the complex interaction between network layers and usually large amount of collected data prevent IT support personnel from determining the root of errors and bottlenecks. There is a need for the tools that reduce the amount of data to be processed, offer a systematic exploration of the data, and assist wholestack performance analysis.In this paper, we present Visty, a network stack visualization tool that allows IT support personnel to systematically explore network activities at end hosts. Visty can provide an overview picture of the network stack at any specified time, showing how errors in one layer affect the performance of others. Visty was designed as a prototype for more advanced diagnosis tools, and also may be used to assist novice users in understanding the network stack and relationships between each layer.

show abstract

A Comparative Study of Assessment of Dental Appearance by Dentists, Dental Technicians, and Laymen Using Computer‐Aided Image Manipulation

Cited by 45 publications

References 10 publications

The influence of varying maxillary incisal edge embrasure space and interproximal contact area dimensions on perceived smile aesthetics

The influence of varying maxillary incisal edge embrasure space and interproximal contact area dimensions on perceived smile aesthetics

Variations in the perception of the smile line according to examiners from three different social classes

Network stack diagnosis and visualization tool

Contact Info

Product

Resources

About