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ICPR
2008
IEEE
14 years 5 months ago
Structure from Motion: Combining features correspondences and optical flow
This paper suggests using discrete feature displacements and optical flow simultaneously to determine the camera motion and its velocity. This is advantageous when the number of ...
Adel H. Fakih, John Zelek
BMVC
2000
14 years 16 days ago
Estimating the Structure of Textured Surfaces Using Local Affine Flow
This paper describes a novel approach for recovering the structure and motion of a rigid textured surface from an image sequence. Camera focal length is also recovered, yielding m...
Andrew Calway
ICPR
2002
IEEE
14 years 4 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
14 years 5 months ago
Pose and Motion from Omnidirectional Optical Flow and a Digital Terrain Map
— An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for ...
Ronen Lerner, Oleg Kupervasser, Ehud Rivlin
ICCV
2003
IEEE
15 years 1 months ago
Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo
This paper presents an algorithm for computing optical flow, shape, motion, lighting, and albedo from an image sequence of a rigidly-moving Lambertian object under distant illumin...
Li Zhang, Brian Curless, Aaron Hertzmann, Steven M...