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.
Yoon
Kuk-Jin
KJ
Department of Electrical Engineering and Computer Science, KAIST, 373-1, Guseong-dong, Yuseong-gu, Daejeon, Korea. kjyoon@rcv.kaist.ac.kr
Kweon
In So
IS
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