Title :
Linear ego-motion recovery algorithm based on quasi-parallax
Author :
Hu, Chuanxin ; Cheong, Loong Fah
Author_Institution :
Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
A parallel camera array resembles a large class of biological visual systems. It consists of two cameras moving in tandem, which have parallel viewing directions and no overlap in the visual fields. Without correspondences, we leverage on pair of parallel visual rays to remove rotational flows and obtain a quasi-parallax motion field, which leads to an accurate and parsimonious solution for translation recovery. The rotation is subsequently recovered using the epipolar constraints and benefits greatly from the good translation estimate. Experimental results show that the linear and the bundle adjustment methods achieve comparable performances.
Keywords :
cameras; image motion analysis; biological visual systems; epipolar constraints; linear ego-motion recovery; parallel camera array; parallel viewing directions; parallel visual rays; quasiparallax motion field; rotational flows; translation recovery; visual fields; Biology computing; Birds; Cameras; Concurrent computing; Eyes; Humans; Insects; Nonlinear optics; Optical noise; Visual system; Biological visual systems; Ego-motion recovery; Parallel camera array; Quasi-parallax terms;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711734