An assessment of information criteria for motion model selection
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Several model selection methods are compared with a particular emphasis on providing a method that will workfully automatically on real imagery and which will fit to the data without affecting structure, matching or segmentation.
Abstract
Rigid motion imposes constraints on the motion of image points between the two images. The matched points must conform to one of several possible constraints, such as that given by the fundamental matrix or image-image homography, and it is essential to know which model to fit to the data before recovery of structure, matching or segmentation can be performed successfully This paper compares several model selection methods with a particular emphasis on providing a method that will workfully automatically on real imagery.
