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Real-Time Parameterized Avatar Face Generation

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Presentation on theme: "Real-Time Parameterized Avatar Face Generation"— Presentation transcript:

1 Real-Time Parameterized Avatar Face Generation
Chris Maltzan Computer Science Adviser: Aaron Cass Psychology Adviser: Carin Perilloux

2 Imagine You Just Witnessed a Crime
How will you describe the suspect? Sketch artist Make a composite yourself

3 Error in Composite Images
Target Composite Memory Drawing Witness Sketch Artist Message Comprehension

4 Research Question Can we design an algorithm to assist users in real-time with the design of a composite image?

5 Mental Storage of Physical Appearance
Isabelle Boutet and Avi Chaudhuri. Multistability of overlapped face stimuli is dependent upon orientation. Perception, 30(6):743 { 753, 2001.

6 A Parameterized Image Editor
Zhou et al. (2010). Parametric reshaping of human bodies in images. ACM Trans. Graph, 29(4). 126:1-126:10.

7 How the Image Editor Works
Zhou et al. (2010). Parametric reshaping of human bodies in images. ACM Trans. Graph, 29(4). 126:1-126:10.

8 EvoFIT: Creating a Composite
Frowd, Hancock, Carson (2004). EvoFIT: A holistic evolutionary facial imaging technique for creating composites. ACM Trans. Appl. Percept, 1(1)

9 EvoFIT: Under the Hood Frowd, Hancock, Carson (2004). EvoFIT: A holistic evolutionary facial imaging technique for creating composites. ACM Trans. Appl. Percept, 1(1)

10 MakeHuman: A Digital Parameterized System
Pros? -Digital representation of appearance -No pictures needed beforehand Cons? -Can create really bad images

11 A Wide Range of Possibility

12 The Algorithm

13 Hypothesis Participants will create composites in less time when using the algorithm. Participants will require less modifications to complete a composite with the algorithm. Composites created using the algorithm will be more similar to the target image than composites created without the algorithm.

14 Methods Two Treatments Between-subjects design Creation Phase, n = 16
Judgment Phase, n = 13

15 Creation Phase: Three consecutive targets:

16 Creation Phase: User Interface

17 Judgment Phase: New sample of participants
Purpose: Are the composites useful (similar)?

18 Modifications by Factor

19 Time by Factor

20 Similarity Score by Factor

21 Time, Modifications, Similarity

22 Judgment Phase - Similarity

23 Composites Control Experimental

24 Composites Control Experimental

25 Composites Control Experimental

26 Discussion Was our hypothesis correct? Speed?
Accuracy/Similarity Rating?

27 Future Work Algorithm Improvement: allowing more variation in symmetry
Selective undo Compare with sketch artists

28 Questions? I would like to thank my advisers, Carin Perilloux and Aaron Cass for all of their guidance in this project. I would also like to thank Union College for the Student Research Grant awarded for use in this research.


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