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Independent Class Projects
Computer VisionSpring 2010
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Perception, tracking, registration
• Joshua Blackburn, Dan Kubacki, John Stratton– Integrate depth camera with color camera
• Erik Kroeker– Track gaze using stereo pair and third camera
• Pedro Crisostomo, Kevin Karsch, Max Katsev– Single image albedo and shading decomposition (3)
• Jin Tae Kwak– Register microscopic and spectroscopic images
• Po-Sen Huang, Victor Lu– “Pixels that sound” implementation, review, evaluation (4)
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Diffuse, shading, albedo, specular decomposition
Shadow removal Preliminary results
Current result
Ground truth
Original
Learned image decomposition
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Pixels that Sound• Canonical Correlation Analysis
• Sparse , solve Vw=a by L1 minimization
Detected correlated pixels
Frame 51
Kidron, Schechner, Elad, Pixels that Sound
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Related to Object Recognition
• Micah Hodosh and Sebastian Schiessl– Text recognition in natural images (6)
• Charles Spuckler– Survey object recognition methods from VOC
PASCAL and evaluate one
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Related to Multiview 3D Reconstruction
• Huiguang Yang– General
• Dean Glazeski, Pahwa Ramanpreet, Wee Hong Yeo– 3D reconstruction from two views + augmented reality
• Huy Bui and Yiyi Huang – general
• Victor Wu, Devin Bonnie, Aaron Silver– calibration of stereo cameras to get 3D view, working with
Berkeley Tele-immersion system• Shengnan Wang
– Stereo estimation from pairs of image
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Other Applications
• Seungho Lee, Hyongju Park, Junho Yang– Detect edges in hallway and use edge detections to
choose robot path (9)
• Qieyun Dai, Ruiqi Guo, Zhida Xu, Xiao Bao– Image dehazing: implement and compare multiple
methods to remove haze from images
• Andre Luiz Nunes Targino da Costa• Jointly estimating shape and segmentation
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Seungho Lee, Hyongju Park, Junho Yang
• Detect edges in hallway and use edge detections to choose robot path.