Title :
A Review of 3D Pose Estimation from a Monocular Image Sequence
Author :
Shan, Gan-Lin ; Ji, Bing ; Zhou, Yun-Feng
Author_Institution :
Opt. & Electron. Eng. Dept, Mech. Eng. Coll., Shijiazhuang, China
Abstract :
3D pose estimation is an important part of 3D motion estimation, which is useful for visualized operation and control. The paper classified approaches of 3D pose estimation from a monocular image sequence into three types: feature-based approach, optical-flow-based approach and model-based approach. In feature-based approaches, 3D motion are estimated by observing a set of 2D features, such as points, lines, junctions and corners, over two or more images. On the contrary, optical-flow-based approaches estimate instantaneous 3D motion from image plane velocity. Both of them can complete the estimation without any a priori knowledge of the object, but the computation is complex and time-consuming. Mode-based approach avoids the burden of computation, but relies on the a priori knowledge of the object. Current research status of each approach is reviewed. Comparison of these three approaches and developing trends of 3D pose estimation are discussed in the conclusion.
Keywords :
image sequences; motion estimation; 3D motion estimation; 3D pose estimation; feature-based approach; image plane velocity; model matching; model-based approach; monocular image sequence; optical flow; optical-flow-based approach; Educational institutions; Equations; Image motion analysis; Image sequences; Mechanical engineering; Motion estimation; Optical computing; Optical control; Optical noise; Optical sensors;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304720