Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation

We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a solution is approached by hypothesizing correspondence and evaluting the motion models constructed under each hypothesis. We present and evaluate experimentally ve algorithms that can be used in this approach. Our experiments were carried out on synthetic and real data with ground truth correspondence information.

• Type: Conference
• Year: 2001
• Where: BMVC
• Authors: Pavel Laskov, Chandra Kambhamettu
• Keywords: BMVC 2001, Computer Vision, Correspondence Estimation, Non-rigid Motion, Prior Domain Information