When asked to draw, most people are hesitant because they believe themselves
unable to draw well. A human instructor can teach students how to draw by encouraging
them to practice established drawing techniques and by providing personal and directed
feedback to foster their artistic intuition and perception. This thesis describes the first
methodology for a computer application to mimic a human instructor by providing
direction and feedback to assist a student in drawing a human face from a photograph.
Nine design principles were discovered and developed for providing such instruction,
presenting reference media, giving corrective feedback, and receiving actions from the
student. Face recognition is used to model the human face in a photograph so that sketch
recognition can map a drawing to the model and evaluate it. New sketch recognition
techniques and algorithms were created in order to perform sketch understanding on
such subjective content. After two iterations of development and user studies for this
methodology, the result is a computer application that can guide a person toward
producing his/her own sketch of a human model in a reference photograph with step-bystep
instruction and computer generated feedback.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2009-12-7289 |
| Date | 2009 December 1900 |
| Creators | Dixon, Daniel M. |
| Contributors | Hammond, Tracy |
| Source Sets | Texas A and M University |
| Language | English |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | application/pdf |
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