Motion Recovery from Image Sequences: Discrete Viewpoint vs. Differential Viewpoint

Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarities between the discrete approach and the differential approach are revealed through a parallel development of their analogous motion estimation theories. We begin with a brief review of the (discrete) essential matrix approach, showing how to recover the 3D displacement from image correspondences. The space of normalized essential matrices is characterized geometrically: the unit tangent bundle of the rotation group is a double covering of the space of normalized essential matrices. This characterization naturally explains the geometry of the possible number of 3D displacements which can be obtained from the essential matrix. Second, a differential version of the essential matrix constraint previously explored by [19,20] is presented. We then present the precise characterization of the space of differential ...

• Type: Conference
• Year: 1998
• Where: ECCV
• Authors: Yi Ma, Jana Kosecka, Shankar Sastry
• Keywords: Computer Vision, Displacement Estimation Algorithm, ECCV 1998, Essential Matrix Approach, Essential Matrix Constraint, Normalized Essential Matrices, Velocity Estimation Algorithm