A Convex Optimization Approach for Depth Estimation Under Illumination Variation.
Wided MiledJean-Christophe PesquetMichel ParentPublished in: IEEE Trans. Image Process. (2009)
Keyphrases
- convex optimization
- depth map
- stereo matching
- stereo vision
- illumination conditions
- object tracking
- multi view
- three dimensional
- d scene
- high quality
- total variation
- specular reflection
- real scenes
- partial occlusion
- image sequences
- input image
- high resolution
- dynamic scenes
- sparse representation
- multi class
- viewpoint
- computer vision
- low resolution
- image classification
- face images
- lighting conditions
- photometric stereo
- feature selection