Paper ID | 3D-3.10 | ||
Paper Title | HUMAN CARVING: A PARSING-BASED FRAMEWORK FOR 3D HUMAN RECONSTRUCTION | ||
Authors | Baoxing Li, Xu Zhao, Shanghai Jiao Tong University, China | ||
Session | 3D-3: Stereoscopic and multiview processing | ||
Location | Area J | ||
Session Time: | Wednesday, 22 September, 14:30 - 16:00 | ||
Presentation Time: | Wednesday, 22 September, 14:30 - 16:00 | ||
Presentation | Poster | ||
Topic | Three-Dimensional Image and Video Processing: Stereoscopic and multiview processing and display | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | Human-centric computer vision tasks often benefit from each other. In this paper, we propose a novel framework called Human Carving to explore the relationships between human parsing and multi-view 3D human reconstruction, which is the first method to consider the two related tasks. It consists of three modules: 1) Pose-aware Multi-view Human Parsing, 2) Semantic Visual Hull Carving and 3) Hierarchical Human Model Fitting. Taking the sparse multi-view images as input, the framework automatically generates a Part-Aware Visual Hull (PAVH) of human body parts and then estimates the human shape and pose simultaneously. Experimental results on real scenes demonstrate the effectiveness of our framework. |