Scale invariance and color invariance are two critical characters of robust local descriptors. For scale invariance, most of local descriptors are constructed based on scale pyramid only, while lack of considering the resolution influence. For color invariance, most of local descriptors are constructed by joining the color features to gray features. This enhances color discrimination of local descriptors but doubles descriptors' length. In this paper, we analyze the resolution influence for descriptor robustness and give a way to construct the base layer of scale pyramid by resolution analysis. And then we propose a color transformation method to extract robust color discriminated local descriptors. At last, we validate the proposed me...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
Image category recognition is important to access visual information on the level of objects and sce...
Local descriptors are ubiquitous in image and shape analysis, as they allow the compact and robust d...
International audienceAlthough color is commonly experienced as an indispensable quality in describi...
We introduce a new method that characterizes quantitatively local image descriptors in terms of thei...
For objects with the same texture but different colors, it is difficult to discriminate them with th...
Despite the fact that color is a powerful cue in object recognition, the extraction of scale-invaria...
In this paper, we compare local colour descriptors to grey-value descriptors. We adopt the evaluatio...
Color is the main source of information particularly for content-analysis and retrieval. Most of the...
Color features are the key-elements widely used in content-analysis and retrieval. However, most of ...
Textures within real images vary in brightness, contrast, scale and skew as imaging conditions chang...
This thesis addresses the use of color in image processing and computer vision. Two problems are stu...
This thesis addresses the use of color in image processing and computer vision. Two problems are stu...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
Image category recognition is important to access visual information on the level of objects and sce...
Local descriptors are ubiquitous in image and shape analysis, as they allow the compact and robust d...
International audienceAlthough color is commonly experienced as an indispensable quality in describi...
We introduce a new method that characterizes quantitatively local image descriptors in terms of thei...
For objects with the same texture but different colors, it is difficult to discriminate them with th...
Despite the fact that color is a powerful cue in object recognition, the extraction of scale-invaria...
In this paper, we compare local colour descriptors to grey-value descriptors. We adopt the evaluatio...
Color is the main source of information particularly for content-analysis and retrieval. Most of the...
Color features are the key-elements widely used in content-analysis and retrieval. However, most of ...
Textures within real images vary in brightness, contrast, scale and skew as imaging conditions chang...
This thesis addresses the use of color in image processing and computer vision. Two problems are stu...
This thesis addresses the use of color in image processing and computer vision. Two problems are stu...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
In this paper, we present a novel method to improve the flexibility of descriptor matching for image...
Image category recognition is important to access visual information on the level of objects and sce...
Local descriptors are ubiquitous in image and shape analysis, as they allow the compact and robust d...