'I'his paDer proposes a new idea of' a stereo matching technique based on the minimal potential energy criterion. The method is concerned with the Plarr's human stereopsis model. According to his model, the real 3-D vorld 1s recognized by internolat,ing identified disparit,ies. We think. however, matching and interpolation should be done simultaneously. Our method realizes this by use of the Green's function, a'nd is indicative of human and machine matching strategic similarity. It is shown that the potential enerey minimum criterion is reduced t.o minimizing a quadratic form, and minimization process can be Localized. The method consists of two parts; 1) Picki-ng up disparity candidates using a sl~pport function. 2) Selection of true disnarities by searching for a surface passing through disparities and being the flattest. time. P'ro~n our irlst,inct it seems more natural and rompat ihle to the actual human visual sl-st,em than the "larr's sequential model. Our method consists of two parts. The former half is t,o pick up disparity rar~didates for each edge hv ttse of a sup~ort function 121, and the latter half is t,o select true dispariti~s hv search for the flattest (notent ial energy minim~lrn J surface ~thich nassps thro~rgh one disparity candidate at each edge. This naper first. t.reat.s the latter half for the convenience of discussion.
['Susumu Hattori', 'Shunji Murai', 'Hitoshi Ohtani']
A STEREO MATCHING METHOD USING THE GREEN'S FUNCTION