Abstract. We present a novel shape recognition method based on an al-gorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contri-butions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.
We present a new shape recognition algorithm for binary images based on the morphological approach. ...
A novel local structure based image retrieval (ALSBIR) approach is proposed in this thesis to build ...
We present an approach that combines bag-of-words and spatialmodels to perform semantic and syntacti...
We develop an approach to object recognition based on match-ing shapes and using a resulting measure...
We present an algorithm for shape matching and recognition based on a generative model for how one s...
In this paper, we describe an incipient method for image retrieval predicated on the local invariant...
There is a great significance of Image retrieval in multimedia and for image retrieval shape is one ...
233 p.Shape recognition has been an attractive research area with both theoretical and practical imp...
In this paper, we identify some of the existing problems in shape context matching. We first identif...
Recognition of categories of objects is one of the central problems of computer vision. The human vi...
1 Shape matching or recognition is computation intensity work in shape analysis. Paper [3] proposed ...
There are numerous applications where geometric patterns need to be checked and compared. An importa...
The problem of object recognition has been at the forefront of computer vision research in the last ...
The problem of object recognition has been at the forefront of computer vision research in the last ...
This paper presents a novel approach to address the problem of generic 2D shape recognition. We prop...
We present a new shape recognition algorithm for binary images based on the morphological approach. ...
A novel local structure based image retrieval (ALSBIR) approach is proposed in this thesis to build ...
We present an approach that combines bag-of-words and spatialmodels to perform semantic and syntacti...
We develop an approach to object recognition based on match-ing shapes and using a resulting measure...
We present an algorithm for shape matching and recognition based on a generative model for how one s...
In this paper, we describe an incipient method for image retrieval predicated on the local invariant...
There is a great significance of Image retrieval in multimedia and for image retrieval shape is one ...
233 p.Shape recognition has been an attractive research area with both theoretical and practical imp...
In this paper, we identify some of the existing problems in shape context matching. We first identif...
Recognition of categories of objects is one of the central problems of computer vision. The human vi...
1 Shape matching or recognition is computation intensity work in shape analysis. Paper [3] proposed ...
There are numerous applications where geometric patterns need to be checked and compared. An importa...
The problem of object recognition has been at the forefront of computer vision research in the last ...
The problem of object recognition has been at the forefront of computer vision research in the last ...
This paper presents a novel approach to address the problem of generic 2D shape recognition. We prop...
We present a new shape recognition algorithm for binary images based on the morphological approach. ...
A novel local structure based image retrieval (ALSBIR) approach is proposed in this thesis to build ...
We present an approach that combines bag-of-words and spatialmodels to perform semantic and syntacti...