Abstract- This paper presents a new image description and matching process based on internal self-similarity property of images. Various definitions of self-similarity are explored to find the best one for image matching. The method also ensures rotation and scale invariance and computational efficiency through a feature detection process. Experiments demonstrate that the proposed method increases robustness of image matching under different imaging conditions or modalities. I
Although a number of local feature-based methods have been proposed, the multimodality matching is s...
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The...
Multimodal image matching is difficult because of the contrast and intensity difference of the image...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
We present an approach for measuring similarity between visual entities (images or videos) based on ...
In this paper, an image matching algorithm combining a SVD matching approach and scale invariant mea...
A fundamental problem in computer vision is the precise determination of correspondences between pai...
Image matching plays an important role in many fields, such as computer vision, remote sensing and m...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
Abstract—Scene matching is the process of recognizing two images as different views of the same scen...
Although a number of local feature-based methods have been proposed, the multimodality matching is s...
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The...
Multimodal image matching is difficult because of the contrast and intensity difference of the image...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
International audienceThis paper proposes a new intensity-based similarity metric that can be used f...
We present an approach for measuring similarity between visual entities (images or videos) based on ...
In this paper, an image matching algorithm combining a SVD matching approach and scale invariant mea...
A fundamental problem in computer vision is the precise determination of correspondences between pai...
Image matching plays an important role in many fields, such as computer vision, remote sensing and m...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
International audienceOne big challenge in computer vision is to extract robust and discriminative l...
Abstract—Scene matching is the process of recognizing two images as different views of the same scen...
Although a number of local feature-based methods have been proposed, the multimodality matching is s...
This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The...
Multimodal image matching is difficult because of the contrast and intensity difference of the image...