Title :
Rectified catadioptric stereo sensors
Author :
Gluckman, Joshua ; Nayar, Shree K.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fDate :
2/1/2002 12:00:00 AM
Abstract :
It has been shown elsewhere how mirrors can be used to capture stereo images with a single camera, an approach termed catadioptric stereo. We present novel catadioptric sensors that use mirrors to produce rectified stereo images. The scanline correspondence of these images benefits real-time stereo by avoiding the computational cost and image degradation due to resampling when rectification is performed after image capture. First, we develop a theory which determines the number of mirrors that must be used and the constraints on those mirrors that must be satisfied to obtain rectified stereo images with a single camera. Then, we discuss in detail the use of both one and three mirrors. In addition, we show how the mirrors should be placed in order to minimize sensor size for a given baseline, an important design consideration. In order to understand the feasibility of building these sensors, we analyze rectification errors due to misplacement of the camera with respect to the mirrors
Keywords :
image sensors; matrix algebra; mirrors; stereo image processing; image capture; rectified catadioptric stereo sensors; scanline correspondence; stereo images; Buildings; Cameras; Computational efficiency; Computer Society; Constraint theory; Degradation; Geometry; Image sensors; Mirrors; Runtime;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on