In recent years, interest point based feature such as SIFT and SURF are widely used for image matchings. While these features are robust to changes in scales, rotations, and local geometric deformations, they are usually less able to simul-taneously handle viewpoint changes and large illumination changes. In this paper, we will cope with this challenging problem. The basic idea is to relight one of the two images so that the image has similar illumination conditions as the other one. After relighting process, the point based features become effective again in the matching process. Our experi-ments show that the proposed method has good performance for matching two images with very different illuminations. Index Terms — image relighting, ima...
This work implements a method to improve correspondence matchingin stereo vision by using varying il...
<p>Image matching is an important topic in the field of computer vision, in view of high robustness ...
Speeded-Up Robust Feature (SURF) is commonly used for feature matching in stereovision because of th...
<p> Point matching under illumination changes is significant for many vision information applicatio...
In this paper, the challenges in local-feature-based image matching are variations of view and illum...
Abstract—The challenges in local-feature-based image matching are variations of view and illuminatio...
Scale-Invariant Feature Transform(SIFT) and Speeded-Up Robust Feature(SURF) are common techniques us...
Scale-Invariant Feature Transform(SIFT) and Speeded-Up Robust Feature(SURF) are common techniques us...
Image relighting is to change the illumination of an image to a target illumination effect without k...
The paper proposes a novel algorithm based on Retinex theory and color transfer to get illumination ...
This thesis sets out to bring improvements in the field of relightable video capture. Previous work ...
Synthesizing photo-realistic images under different illumination conditions remains an important but...
[[abstract]]A method for matching images is provided that includes the step of providing a template ...
Many image processing methods, such as techniques for people re-identification, assume photometric c...
In this report we address the problem of matching two images with two different resolutions: a high-...
This work implements a method to improve correspondence matchingin stereo vision by using varying il...
<p>Image matching is an important topic in the field of computer vision, in view of high robustness ...
Speeded-Up Robust Feature (SURF) is commonly used for feature matching in stereovision because of th...
<p> Point matching under illumination changes is significant for many vision information applicatio...
In this paper, the challenges in local-feature-based image matching are variations of view and illum...
Abstract—The challenges in local-feature-based image matching are variations of view and illuminatio...
Scale-Invariant Feature Transform(SIFT) and Speeded-Up Robust Feature(SURF) are common techniques us...
Scale-Invariant Feature Transform(SIFT) and Speeded-Up Robust Feature(SURF) are common techniques us...
Image relighting is to change the illumination of an image to a target illumination effect without k...
The paper proposes a novel algorithm based on Retinex theory and color transfer to get illumination ...
This thesis sets out to bring improvements in the field of relightable video capture. Previous work ...
Synthesizing photo-realistic images under different illumination conditions remains an important but...
[[abstract]]A method for matching images is provided that includes the step of providing a template ...
Many image processing methods, such as techniques for people re-identification, assume photometric c...
In this report we address the problem of matching two images with two different resolutions: a high-...
This work implements a method to improve correspondence matchingin stereo vision by using varying il...
<p>Image matching is an important topic in the field of computer vision, in view of high robustness ...
Speeded-Up Robust Feature (SURF) is commonly used for feature matching in stereovision because of th...