SLIDE 1
Mingtian Zhao, Song-Chun Zhu University of California, Los Angeles Lotus Hill Institute http://bit.ly/portrait-painting
PORTRAIT PAINTING USING ACTIVE TEMPLATES
SLIDE 2 Portrait Painting
- Particularity
- Structural
- Acute perception by human vision
- Special Practices
- Large and decisive brush strokes
- Vibrant colors
- Not so easy as painting generic objects
SLIDE 3 Painterly Rendering of Human Portraits
- Existing Methods
- Strategic [Hertzmann 98; Hays and Essa 04]
- Content-Oriented [Zeng et al. 09]
- Stochastic Processes [Zhao and Zhu 11]
SLIDE 4 Painterly Rendering of Human Portraits
- Existing Methods
- Strategic [Hertzmann 98; Hays and Essa 04]
- Content-Oriented [Zeng et al. 09]
- Stochastic Processes [Zhao and Zhu 11]
- Challenges
- Weak data vs. Strong prior
- Large and decisive strokes: Structural details
- Vibrant colors: Not present in original photographs
- Our Approach
- Example-Based Templates (Dictionary)
SLIDE 5
Portrait Painting Dictionary
SLIDE 6
Portrait Painting Dictionary
SLIDE 7
Portrait Painting Dictionary
SLIDE 8
Rendering Pipeline
Stroke Position Transformation Stroke Color Shift
SLIDE 9
Rendering With Different Templates (Fig.1)
SLIDE 10 Active Portrait Template
- Brush Stroke Model
- [Zeng et al. 09]
- Quadrilateral Mesh
- Thin-Plate Spline (TPS)
- Facial Structure Model
- Active Appearance Model (AAM)
- [Cootes 01]
- 83 Landmark Points
SLIDE 11 Rendering
- Template Selection
- Compute AAM landmarks for input image
- Search for best shape and color matching in the dictionary
- Report 10 candidates for user selection
- Shape distances in 5-D PCA space
- Color distances in 25-D PCA space (Eigenface distance)
SLIDE 12 Rendering
- Stroke Position Transformation
- TPS transformation defined by pairs of AAM landmarks
- Stroke Color Shift
- Objective: To preserve contrast among neighboring strokes
- Inspired by color transfer of natural images [Reinhard et al. 2001]
- In CIELCH color space
SLIDE 13
Experiments (Fig.8)
SLIDE 14
Experiments (Fig.10)
SLIDE 15
Experiments (Fig.9)
SLIDE 16
Experiments (Fig.11)
SLIDE 17 Summary
- A portrait painting method taking advantage of
- Facial structure information
- Techniques of artists
- Future Work
- Richer Representation
- Better Color Processing
- Part-Based Model
SLIDE 18
http://bit.ly/portrait-painting
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