Title :
Super-resolution image reconstruction for Omni-Vision based on POCS
Author :
Zhang Fan ; Zhu Qi-dan
Author_Institution :
Acad. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
The catadioptric omnidirectional sensor, called Omni-Vision, involving capture and automatic interpretation of images, depicts full horizontal panorama 360 degrees view of the surroundings. The field of view band can be easily transformed to a panoramic image and a conventional perspective image. However, it has an intrinsical disadvantage that the angular resolution Omni-Vision is lower than that of conventional video camera. In this paper, a super-resolution method for the Omni-Vision is proposed to reconstruct high resolution panoramic transformed images, in which consecutive images obtained by rotating motion of Omni-Vision are fused using the POCS (project on convex sets) algorithm. Experiment results are also provided to demonstrate the efficiency of the proposed method.
Keywords :
image reconstruction; image representation; image resolution; image sensors; Omni-Vision; POCS; catadioptric omnidirectional sensor; horizontal panorama; image interpretation; panoramic transformed image; project on convex sets; rotating motion; super-resolution image reconstruction; Cameras; High-resolution imaging; Image reconstruction; Image resolution; Image sensors; Layout; Military computing; Mirrors; Navigation; Robot vision systems; Catadioptric omnidirection sensor; POCS algorithm; Panoramic image; Super-Resolution;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5194962
