3D object recognition

In this dissertation, we aim to propose a robust 3-D object detection and recognition system. As a feasible solution to deploy a real application, the proposed framework should be simple, robust and friendly to the VIPs.

28p gaocaolon6 30-07-2020 31 3   Download

Matching 3D objects by their similarity is a fundamental problem in computer vision, computer graphics and many other fields. The main challenge in object matching is to find a suitable shape representation that can be used to accurately and quickly discriminate between similar and dissimilar shapes. In this paper we present a new volumetric descriptor to represent 3D objects. The proposed descriptor is used to match objects under rigid transformations including uniform scaling.

9p kethamoi1 20-11-2019 13 1   Download

This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images.

28p friends 20-06-2010 101 11   Download