[[abstract]]In this paper we present a hierarchical inexact matching method to identify 3-D objects. The 3-D objects are described by a relational model consisting of the global relation, the topological relation, and the geometrical relation. When identifying an unknown object, firstly its global, topological, and geometrical relations are generated, secondly its global relation is used as a key to search for the closest group of clusters, thirdly its topological relation is matched with the representative of each cluster in the same group to find the most similar cluster, and finally the geometrical relation match takes place against the objects in this cluster for the best match. The hierarchical relational model generation and inexact m...
International audienceIn this paper, we present a system that recognizes objects in a jumble, verifi...
We present an approach that utilizes efficient geometric feature extraction and a matching method th...
This paper presents an efficient 3D correspondence grouping algorithm for finding inliers from an in...
This paper describes in detail the inexact matching algorithm which has been applied with success to...
This paper describes a powerful inexact matching algorithm that has been applied with success to hig...
An object recognition system is presented that uses CAD generated descriptions as the basis for auto...
International audienceIn this paper, we present a general frame for a system of automatic modelling ...
This paper presents a method for efficiently maintaining and searching a database of three-dimensio...
International audienceIn this article, we present a general frame for a system of au tomatic modelin...
This paper presents an efficient correspondence grouping algorithm to search inliers from an initial...
International audienceIn this article, we present a general frame for a system of au tomatic modelin...
我々は例示画像からの知識獲得機能をもった画像認識システムの研究を行っている。システムは対象物の構成領域の2次元特徴とそれらの階層的関係からなる対象物モデルを知識として持ち、対象物の認識を行う。このとき...
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D sig...
Given a CAD model of an object, we would like to automatically generate a vision model and matching ...
Attributed Relational Graph (ARG) is a powerful representation for model based object recognition du...
International audienceIn this paper, we present a system that recognizes objects in a jumble, verifi...
We present an approach that utilizes efficient geometric feature extraction and a matching method th...
This paper presents an efficient 3D correspondence grouping algorithm for finding inliers from an in...
This paper describes in detail the inexact matching algorithm which has been applied with success to...
This paper describes a powerful inexact matching algorithm that has been applied with success to hig...
An object recognition system is presented that uses CAD generated descriptions as the basis for auto...
International audienceIn this paper, we present a general frame for a system of automatic modelling ...
This paper presents a method for efficiently maintaining and searching a database of three-dimensio...
International audienceIn this article, we present a general frame for a system of au tomatic modelin...
This paper presents an efficient correspondence grouping algorithm to search inliers from an initial...
International audienceIn this article, we present a general frame for a system of au tomatic modelin...
我々は例示画像からの知識獲得機能をもった画像認識システムの研究を行っている。システムは対象物の構成領域の2次元特徴とそれらの階層的関係からなる対象物モデルを知識として持ち、対象物の認識を行う。このとき...
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D sig...
Given a CAD model of an object, we would like to automatically generate a vision model and matching ...
Attributed Relational Graph (ARG) is a powerful representation for model based object recognition du...
International audienceIn this paper, we present a system that recognizes objects in a jumble, verifi...
We present an approach that utilizes efficient geometric feature extraction and a matching method th...
This paper presents an efficient 3D correspondence grouping algorithm for finding inliers from an in...