Abstract—This paper presents a relaxation labeling process with the newly defined compatibility measure for solving a general nonrigid point matching problem. In the literature, there exists a point matching method using relaxation labeling; however, the compatibility coefficient takes a binary value of zero or one depending on whether a point and a neighbor have corresponding points. Our approach generalizes this relaxation labeling method. The compatibility coefficient takes n discrete values which measure the correlation between point pairs. In order to improve the speed of the algorithm, we use a diagram of log distance and polar angle bins to compute the correlation. The extensive experiments show that the proposed topology preserving ...
Our work in image similarity retrieval by relaxation labeling processes [1] required adding local co...
Abstract. Graph matching has a wide spectrum of computer vision ap-plications such as finding featur...
Point pattern matching is an important topic of computer vision and pattern recognition. In this pap...
This paper presents a solution for the problem of correspondence and relative orientation (RO) estim...
Feature-based methods for non-rigid registration frequently encounter the correspondence problem. Re...
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean space...
In this paper, the concept of Matching Parallelepiped (MP) is presented. It is shown that the volume...
Point sets registration, also known as point matching, is to find the one-to-one correspondence betw...
We study local similarity based distance measures for point-patterns. Such measures can be used for ...
Graph matching is a fundamental problem in Computer Vision and Machine Learning. We present two cont...
As a fundamental problem in pattern recognition, graph matching has applications in a variety of fie...
Relaxation labeling processes have been widely accepted in the past decades as one of the successful...
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean space...
We propose a method for matching non-affinely related sparse model and data point-sets of identical ...
Object recognition using graph-matching techniques can be viewed as a two-stage process: extracting ...
Our work in image similarity retrieval by relaxation labeling processes [1] required adding local co...
Abstract. Graph matching has a wide spectrum of computer vision ap-plications such as finding featur...
Point pattern matching is an important topic of computer vision and pattern recognition. In this pap...
This paper presents a solution for the problem of correspondence and relative orientation (RO) estim...
Feature-based methods for non-rigid registration frequently encounter the correspondence problem. Re...
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean space...
In this paper, the concept of Matching Parallelepiped (MP) is presented. It is shown that the volume...
Point sets registration, also known as point matching, is to find the one-to-one correspondence betw...
We study local similarity based distance measures for point-patterns. Such measures can be used for ...
Graph matching is a fundamental problem in Computer Vision and Machine Learning. We present two cont...
As a fundamental problem in pattern recognition, graph matching has applications in a variety of fie...
Relaxation labeling processes have been widely accepted in the past decades as one of the successful...
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean space...
We propose a method for matching non-affinely related sparse model and data point-sets of identical ...
Object recognition using graph-matching techniques can be viewed as a two-stage process: extracting ...
Our work in image similarity retrieval by relaxation labeling processes [1] required adding local co...
Abstract. Graph matching has a wide spectrum of computer vision ap-plications such as finding featur...
Point pattern matching is an important topic of computer vision and pattern recognition. In this pap...