Title :
A neural implementation for interpolation of stereo data
Author :
Srinivasan, R. ; Shridhar, M. ; Ahmadi, M.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
An interpolation of the sparse depth map of stereopsis is a necessary accomplishment in early vision. A neural implementation of a class of interpolants, known as the Shepard surfaces, is discussed. The computing nature of neurons is exploited, and the results suggest that a variety of early visual functions could be neurally realized in this fashion
Keywords :
interpolation; neural nets; neurophysiology; pattern recognition; picture processing; visual perception; Shepard surfaces; computing nature; early vision; interpolants; neural implementation; neurons; sparse depth map; stereo data interpolation; stereopsis; visual functions; Arithmetic; Frequency; Interpolation; Neurons; Pattern analysis; Performance analysis; Tree data structures;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266974
