Adaptive support-weight approach for correspondence search.
We present a new window-based method for correspondence search using varying support-weights. We adjust the support-weights of the pixels in a given support window based on color similarity and geometric proximity to reduce the image ambiguity. Our method outperforms other local methods on standard stereo benchmarks.
Department of Electrical Engineering and Computer Science, KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, Korea. kjyoon@rcv.kaist.ac.kr
Kuk-Jin
KJ
Yoon
In So
IS
Kweon
D000465:Algorithms; D001185:Artificial Intelligence; D032701:Biomimetics / Q000379:methods; D003124:Colorimetry / Q000379:methods*; D005246:Feedback; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010780:Photogrammetry / Q000379:methods*; D012815:Signal Processing, Computer-Assisted