Television – Special applications – Navigation
Reexamination Certificate
2008-01-08
2008-01-08
Rao, Anand (Department: 2621)
Television
Special applications
Navigation
C348S120000
Reexamination Certificate
active
07317474
ABSTRACT:
A plurality of cameras respectively input an image from different camera positions. The plurality of cameras is on a moving object. An image memory stores a plurality of images input by the plurality of cameras. An image transformation unit transforms one image input by a first camera using each of a plurality of transformation parameters each representing a geometrical relationship among a predetermined plane, the first camera, and a second camera, and generates a plurality of transformed images from a view position of the second camera. A matching processing unit compares each of the plurality of transformed images with another image input by the second camera for each area consisting of pixels, and calculates a coincidence degree of each area between each transformed image and another image. An obstacle detection unit detects an obstacle area consisting of areas each having a coincidence degree below a threshold from another image.
REFERENCES:
patent: 5410346 (1995-04-01), Saneyoshi et al.
patent: 5892855 (1999-04-01), Kakinami et al.
patent: 6157876 (2000-12-01), Tarleton et al.
patent: 6411898 (2002-06-01), Ishida et al.
patent: 6661449 (2003-12-01), Sogawa
patent: 6735557 (2004-05-01), Castellar et al.
patent: 2006/0055776 (2006-03-01), Nobori et al.
Hattori Hiroshi
Onoguchi Kazunori
Takeda Nobuyuki
Kabushiki Kaisha Toshiba
Oblon & Spivak, McClelland, Maier & Neustadt P.C.
Rao Anand
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