A Computational Study of Rigid Motion Perception.
Abstract
The interpretation of visual motion is investigated. The task of motion perception is divided into two major subtasks: (i) estimation of two dimensional retinal motion, and (ii) computation of parameters of rigid motion from retinal motion. Retinal motion estimation is performed using a point matching algorithm based on local similarity of matches and a global clustering strategy. The clustering technique unifies the notion of matching and motion segmentation and provides an insight into the complexity of the matching and segmentation process. The constraints governing the computation of the rigid motion parameters from retinal motion are investigated. The emphasis is on determining the possible ambiguity of interpretation and how to remove them. This theoretical analysis forms the basis of a set of algorithms for computing structure and three dimensional motion parameters from retinal displacements. The algorithms are experimentally evaluated. The main difficulties facing the computation are seen to be nonlinearity and a high dimensional search space of solutions. To alleviate these difficulties an active tracking method is proposed. This is a closed loop system for evaluating the motion matching. The central theme for this research has been the evaluation of a hierarchical model for visual motion perception.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1986
- Accession Number
- ADA189044
Entities
People
- Amit Bandopadhay
Organizations
- University of Rochester