Dense 3D reconstruction method using a single pattern for fast moving object

Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. The actual cases for scanning we assume are, for example, acquiring sequential shape at the moment when an object explodes, or observing fast rotating turbine's blades. In this paper, we propose such a technique based on a one-shot scanning method that reconstructs 3D shape from a single image where dense and simple pattern are projected onto an object. To realize dense 3D reconstruction from a single image, there are several issues to be solved; e.g. instability derived from using multiple colors, and difficulty on detecting dense pattern because of influence of object color and texture compression. This paper describes the solutions of the issues by combining two methods, that is (1) an efficient line detection technique based on de Bruijn sequence and belief propagation, and (2) an extension of shape from intersecti...

• Type: Journal
• Year: 2009
• Where: ICCV
• Authors: Ryusuke Sagawa, Yuichi Ota, Yasushi Yagi, Ryo Furukawa, Naoki Asada, Hiroshi Kawasaki
• Keywords: Computer Vision, Dense 3D Reconstruction, ICCV 2009, One-shot Scanning Method, Single Image