Title :
Active shape and depth extraction from shadow images
Author :
Wang, Lei ; Clark, James J.
Author_Institution :
Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
Abstract :
We present a recursive estimation scheme for determining surface shape and depth. This technique relies on the control over the way in which shadows are cast in scenes, through variation of the position of illuminant. The estimation process is based on the iterated extended Kalman filter, with a near-optimal control of the movement of the light source to reduce the sensitivity of the state estimate to the sensory noise
Keywords :
Kalman filters; image sequences; iterative methods; optimisation; recursive estimation; state estimation; active shape; depth extraction; estimation process; illuminant position; iterated extended Kalman filter; near-optimal control; recursive estimation scheme; sensitivity; sensory noise; shadow images; state estimate; surface shape; Cameras; Data mining; Layout; Light sources; Lighting control; Photometry; Shape; State estimation; Surface reconstruction; Surface treatment;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413374
