Title

Recovering 3D Motion Of Multiple Objects Using Adaptive Hough Transform

Abstract

We present a method to determine 3D motion of multiple objects from two perspective views. In our method, segmentation is determined based on a 3D rigidity constraint. We divide the input image into overlapping patches, and for each sample of the translation parameter space, we compute the rotation parameters of patches using least-squares fit. Every patch votes for a sample in the translation and rotation parameter space. For a patch containing multiple motions, we use an M-estimator to compute rotation parameters of a dominant motion. We use the adaptive Hough transform to refine the relevant parameter space in a 'coarse-to-fine' fashion. Applications of the proposed method to both synthetic and real images are demonstrated with promising results.

Publication Date

1-1-1995

Publication Title

IEEE International Conference on Computer Vision

Number of Pages

284-289

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0029215671 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029215671

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