TY - CHAP
T1 - Polydioptric Cameras: New Eyes for Structure from Motion
T2 - Pattern RecognitionPattern Recognition
Y1 - 2002
A1 - Neumann, Jan
A1 - FermÃ¼ller, Cornelia
A1 - Aloimonos, J.
ED - Van Gool,Luc
AB - We examine the influence of camera design on the estimation of the motion and structure of a scene from video data. Every camera captures a subset of the light rays passing though some volume in space. By relating the differential structure of the time varying space of light rays to different known and new camera designs, we can establish a hierarchy of cameras. This hierarchy is based upon the stability and complexity of the computations necessary to estimate structure and motion. At the low end of this hierarchy is the standard planar pinhole camera for which the structure from motion problem is non-linear and ill-posed. At the high end is a camera, which we call the full field of view polydioptric camera, for which the problem is linear and stable. We develop design suggestions for the polydioptric camera, and based upon this new design we propose a linear algorithm for structure-from-motion estimation, which combines differential motion estimation with differential stereo.
JA - Pattern RecognitionPattern Recognition
T3 - Lecture Notes in Computer Science
PB - Springer Berlin / Heidelberg
VL - 2449
SN - 978-3-540-44209-7
UR - http://dx.doi.org/10.1007/3-540-45783-6_74
ER -