Title :
Recovering shape and motion from undersea images
Author :
Negahdaripour, Shahriar ; Yu, Chih Ho ; Shokrollahi, Amir H.
Author_Institution :
Dept. of Electr. Eng., Hawaii Univ., HI, USA
fDate :
7/1/1990 12:00:00 AM
Abstract :
Work on the development of passive-vision sensing capabilities that can increase the autonomy of an undersea vehicle is reported. Two classic machine-vision problems for recovering motion and the shape of objects from their images are considered, in light of formulations that incorporate effects due to the illumination attenuation and nonuniform lighting commonly encountered in undersea environments. Based on the formulations, methods are proposed for recovering the orientation of a planar patch from its image shading and for estimating the image motion, a useful tool in dynamic scene analysis
Keywords :
automatic guided vehicles; computer vision; computerised pattern recognition; computerised picture processing; digital simulation; marine systems; dynamic scene analysis; image shading; machine-vision; passive-vision sensing; planar patch; remotely operated vehicles; shape recovery; undersea images; undersea vehicle; Data mining; Fatigue; Layout; Lighting; Marine vehicles; Mobile robots; Optical attenuators; Reflectivity; Remotely operated vehicles; Shape;
Journal_Title :
Oceanic Engineering, IEEE Journal of
