Computer vision depth segmentation using virtual surface

Details Computer vision depth segmentation using virtual surface Computer vision depth segmentation using virtual surface

2005-06-28

2005-06-28

An, Shawn S. (Department: 2613)

Television

Stereoscopic

C348S036000, C348S047000, C348S135000, C348S141000, C348S169000, C348S154000, C348S145000, C382S174000, C382S115000, C382S173000

Reexamination Certificate

active

06911995

ABSTRACT:
The location of an object in a physical scene is identified with a stereo camera. A virtual surface is identified in the physical scene, and an approximate disparity set is constructed for the virtual surface. A main and a reference image of the scene are acquired by the stereo camera. The reference image is warped according to the disparity set, and subtracted from the main image to determine a set of depth residual values. Pixels having a substantially non-zero residual are identified with a surface of the object not coincident with the virtual surface.

REFERENCES:
patent: 5473364 (1995-12-01), Burt
patent: 6141104 (2000-10-01), Schulz et al.
patent: 6144701 (2000-11-01), Chiang et al.
patent: 6297825 (2001-10-01), Madden et al.
patent: 6507665 (2003-01-01), Cahill et al.
patent: 6677982 (2004-01-01), Chen et al.
patent: 6700999 (2004-03-01), Yang
Ivanov et al., in“Fast lighting independent background subtraction,”International Journal of Computer Vision, 37(2) :199-207, 2000.
Gaspar et al., in“Ground plane obstacle detection with a stereo vision system,”International workshop on Intellignet Robotic Systems, ISR94, 1994.

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