CVPR


Just reviewing the CVPR 2009 papers, and wanted to make a few notes on papers that might be useful at sometime:

  • Color Estimation from a Single Surface Color (Kawakami, Ikeuchi).
  • Video Object Segmentation by Hypergraph Cut (Huang et al.)
  • Photometric Stereo and Weather Estimation Using Internet Images (Shin and Tan); challenges are multiple viewpoints, different cameras.
  • Real-Time Learning of Accurate Patch Rectification (Hintestoisser et al.); Learn a bunch of patches for an image template (based on warped versions of it, e.g., homography, computed quickly using a basis). In real-time can identify patch and coarse pose of patch (using these templates), which can then be refined (inverse compositional tracking). Can handle 10’s of reference features along with 70+ identified features in a frame in real-time).
  • High Dynamic Range Image Reconstruction from Hand-held Cameras (Lu et al.); HDR from hand-held (not tripod) images, dealing with blur and misalignment.
  • Contextual Flow (Wu and Fan)

Some other related papers that I came across as a result:

  • Intrinsic Image Decomposition with Non-Local Texture Cues (Shen et al.); Decompose images into shading and albedo (with no other known information); group normalized pixels into regions that have similar texture in small neighborhood; find group reflectance s.t. it minimize cost function that keeps shading spatially smooth. Results look good.
  • A projective framework for radiomatric image analysis (Tan and Zickler); projective framework and it’s use in autocalibration, etc.
  • Isotropy, Reciprocity and the Generalized bas-Relief Ambiguity (Tan et al.); auto-calibration of photometric stereo.
  • Reanimating Faces in Images and Video (Blanz et al.); this lead me to SPHYNX, which they used for converting text/speech into phonemes/visemes. Looked a little into this, but would take some time.
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