24th European Signal Processing Conference (EUSIPCO) -- AUG 28-SEP 02, 2016 -- Budapest, HUNGARYWOS: 000391891900479Binary descriptors have been very popular in recent years. One reason is that the algorithms that use them become computationally and memory-wise efficient. Furthermore, they tend to have some inherent robustness against some geometrical variations and against various brightness changes. These changes might result from both internal factors and external factors such as location of the light source, viewing angle, scene properties. In this paper, we describe a binary descriptor which proves to be robust to complex brightness changes such as gamma correction, noise and photometric distortions. The experimental results demonstrat...
In recent years a new wave of feature descriptors has been presented to the computer vision communit...
Binary keypoint descriptors provide an efficient alterna-tive to their floating-point competitors as...
Image category recognition is important to access visual information on the level of objects and sce...
Binary descriptors have been very popular in recent years. One reason is that the algorithms that us...
brightness invariance, illumination invariant, feature descriptors, image features, feature matching...
International audienceA great deal of features detectors and descriptors are proposed every years fo...
Abstract. Performance evaluation of salient features has a long-standing tradition in computer visio...
Local image features play an important role in matching images under different geometric and photome...
We introduce a new method that characterizes quantitatively local image descriptors in terms of thei...
In recent years a new wave of feature descriptors has been presented to the computer vision communit...
The need for faster feature matching has left as a result a new set of feature descriptors to the co...
As the current binary descriptors have disadvantages of high computational complexity, no affine inv...
Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as ...
In this paper a new image descriptor based on Binary Robust Independent Elementary Features (BRIEF) ...
In this paper, we introduce a local image descriptor that is inspired by earlier detectors such as S...
In recent years a new wave of feature descriptors has been presented to the computer vision communit...
Binary keypoint descriptors provide an efficient alterna-tive to their floating-point competitors as...
Image category recognition is important to access visual information on the level of objects and sce...
Binary descriptors have been very popular in recent years. One reason is that the algorithms that us...
brightness invariance, illumination invariant, feature descriptors, image features, feature matching...
International audienceA great deal of features detectors and descriptors are proposed every years fo...
Abstract. Performance evaluation of salient features has a long-standing tradition in computer visio...
Local image features play an important role in matching images under different geometric and photome...
We introduce a new method that characterizes quantitatively local image descriptors in terms of thei...
In recent years a new wave of feature descriptors has been presented to the computer vision communit...
The need for faster feature matching has left as a result a new set of feature descriptors to the co...
As the current binary descriptors have disadvantages of high computational complexity, no affine inv...
Binary keypoint descriptors provide an efficient alternative to their floating-point competitors as ...
In this paper a new image descriptor based on Binary Robust Independent Elementary Features (BRIEF) ...
In this paper, we introduce a local image descriptor that is inspired by earlier detectors such as S...
In recent years a new wave of feature descriptors has been presented to the computer vision communit...
Binary keypoint descriptors provide an efficient alterna-tive to their floating-point competitors as...
Image category recognition is important to access visual information on the level of objects and sce...