dc.contributor.author |
Gangam, Priyanka Reddy |
en_US |
dc.date.accessioned |
2013-11-15T18:25:02Z |
|
dc.date.accessioned |
2019-09-08T02:40:47Z |
|
dc.date.available |
2013-11-15T18:25:02Z |
|
dc.date.available |
2019-09-08T02:40:47Z |
|
dc.date.issued |
2010 |
|
dc.identifier |
704753255 |
en_US |
dc.identifier.other |
b20866069 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/1989/10618 |
|
dc.description |
viii, 26 leaves : ill. ; 29 cm. |
en_US |
dc.description.abstract |
Face sketch recognition by humans has a significant value to both criminal investigators and researchers in computer vision, face biometrics, and cognitive psychology. An important question for both law enforcement agents and scientific researchers is how accurately humans identify hand-drawn face sketches correctly. However, the experimental studies of human performance in recognizing hand-drawn face sketches are still very limited in terms of the number of artists, the number of sketches, and the number of human evaluators involved. In this study, analysis has been concluded based on psychological tests in which 406 volunteers were asked to recognize 250 sketches drawn by 5 different artists. The primary findings are: i. The sketch quality has a significant effect on human performance. Inter-artist variation as measured by the mean recognition rate can be as high as 31%. ii. Participants showed a higher tendency to match multiple sketches to one photo than to second-guess their answers. The multi-match ratio seems correlated to recognition rate, while second-guessing had no significant effect on human performance. iii. For certain highly recognized faces, their rankings were very consistent using three measuring parameters: recognition rate, multi-match ratio, and second-guess ratio, suggesting that the three parameters could provide valuable information to quantify facial distinctiveness. |
en_US |
dc.description.statementofresponsibility |
by Priyanka Reddy Gangam. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.relation.ispartofseries |
Master's Theses no. 1229 |
en_US |
dc.subject.lcsh |
Face perception. |
en_US |
dc.subject.lcsh |
Human face recognition (Computer science)--Biometric identification. |
en_US |
dc.title |
Recognizing Face Sketches by Human Volunteers |
en_US |
dc.type |
Thesis |
en_US |