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Independent Class Projects

Dive into cutting-edge projects from a Computer Vision class, exploring topics like image decomposition, stereo estimation, text recognition, and 3D reconstruction using advanced techniques like depth camera integration and spectral image registration.

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Independent Class Projects

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  1. Independent Class Projects Computer Vision Spring 2010

  2. 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)

  3. Learned image decomposition Diffuse, shading, albedo, specular decomposition Shadow removal Preliminary results Current result Original Ground truth

  4. Pixels that Sound • Canonical Correlation Analysis • Sparse , solve Vw=a by L1 minimization Frame 51 Detected correlated pixels Kidron, Schechner, Elad, Pixels that Sound

  5. 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

  6. Related to Multiview 3D Reconstruction • Huiguang Yang • General • Dean Glazeski, PahwaRamanpreet, 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

  7. 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

  8. Seungho Lee, Hyongju Park, Junho Yang • Detect edges in hallway and use edge detections to choose robot path.

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