Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures

We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spectral sensitivity differences and illumination changes. For this purpose, we first show that both problems reduce to a generic image matching problem after backprojecting the input images onto suitable surfaces. We then solve this matching problem in the case of statistical similarity criteria that can handle frequently occurring nonaffine image intensities dependencies. Our method leads to an efficient and elegant implementation based on fast recursive filters. We obtain good results on real images.

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Jean-Philippe Pons, Renaud Keriven, Olivier D. Faugeras, Gerardo Hermosillo
• Keywords: Computer Vision, Dense Depth Recovery, Dense Three-dimensional Motion, ICCV 2003, Image Intensities Dependencies, Image Matching Problem, Spectral Sensitivity Differences