An effective approach to 3D deformable surface tracking

• المؤلفون الرئيسيون: ZHU, Jianke, HOI, Steven C. H., XU, Zenglin, LYU, Michael R.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2008
• الموضوعات: Algorithms; Performance; Experimentations; Near-duplicate keyframe; image copy detection; nonrigid image matching; semi-supervised learning; Computer Sciences; Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/2378; https://ink.library.smu.edu.sg/context/sis_research/article/3378/viewcontent/eccv08.pdf

The key challenge with 3D deformable surface tracking arises from the difficulty in estimating a large number of 3D shape parameters from noisy observations. A recent state-of-the-art approach attacks this problem by formulating it as a Second Order Cone Programming (SOCP) feasibility problem. The m...