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Illumination invariants
"... In this paper we show how tools from group theory can be used to find invariants for time-changing illumination changes. In the first part of the paper we give a brief overview over the theory of one-parameter groups and their invariants. In the second part we describe how the chromaticity coordinat ..."
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Cited by 1 (0 self)
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In this paper we show how tools from group theory can be used to find invariants for time-changing illumination changes. In the first part of the paper we give a brief overview over the theory of one-parameter groups and their invariants. In the second part we describe how the chromaticity
ILLUMINATION INVARIANT UNSUPERVISED SEGMENTER
"... A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally represented by illumination invariants derived from four directional causal multispectral Markovian models recursively evaluate ..."
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Cited by 1 (1 self)
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A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally represented by illumination invariants derived from four directional causal multispectral Markovian models recursively
In Search of Illumination Invariants
"... We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We first show that for an object with Lambertian reflectance there are no discriminative functions that are invariant to illumination. This result leads us to adopt a probabilisti ..."
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Cited by 80 (7 self)
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We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We first show that for an object with Lambertian reflectance there are no discriminative functions that are invariant to illumination. This result leads us to adopt a
Illumination-invariant change detection
- In 4th IEEE Southwest Symposium on Image Analysis and Interpretation
, 2000
"... Moving objects in image sequences acquired by a static camera can be detected by analyzing the grey–level difference between successive frames. Direct motion detection, however, will also detect fast variations of scene illumination. This paper describes a method for motion detection that is conside ..."
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Cited by 20 (3 self)
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Moving objects in image sequences acquired by a static camera can be detected by analyzing the grey–level difference between successive frames. Direct motion detection, however, will also detect fast variations of scene illumination. This paper describes a method for motion detection
Illumination Invariant Colour Recognition
- In Proceedings of the British Machine Vison Conference
, 1994
"... The article describes a colour based recognition system with three novel features. Firstly, the proposed system can operate in environments where spectral characteristics of illumination change in both space and time. Secondly, benefits in terms of speed and quality of output are gained by focusing ..."
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Cited by 10 (2 self)
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The article describes a colour based recognition system with three novel features. Firstly, the proposed system can operate in environments where spectral characteristics of illumination change in both space and time. Secondly, benefits in terms of speed and quality of output are gained by focusing
Illumination Invariance for Face Verification
, 2006
"... The task of face verification is made more difficult when the illumination conditions of image capture are not constrained. The differences in illumination conditions between the stored images of the client and the probe image can be lessened by the application of photometric normalisation. Photomet ..."
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Cited by 1 (0 self)
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The task of face verification is made more difficult when the illumination conditions of image capture are not constrained. The differences in illumination conditions between the stored images of the client and the probe image can be lessened by the application of photometric normalisation
Illumination Invariant Face Recognition
"... Face Recognition is a term that includes several subproblems. Though face recognition have been a grown up research area, however, there still remain many problems that must be overcome to develop a robust face recognition system that works well under various circumstances such as illumination, pose ..."
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Face Recognition is a term that includes several subproblems. Though face recognition have been a grown up research area, however, there still remain many problems that must be overcome to develop a robust face recognition system that works well under various circumstances such as illumination
Illumination-invariant Active Vision
- MVA '92 IAPR WORKSHOP ON MACHINE VISTON APPLICATIONS DEC. 7-9,1992, TOKYO
, 1992
"... We have developed a visual system which adapts for varying illumination. The system has three features. First, the intenaity of the image is kept constant by automatically adjusting the iris value which is a camera parameter. Semnd, t.lw gray levels of itn image portion or the user's interest a ..."
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We have developed a visual system which adapts for varying illumination. The system has three features. First, the intenaity of the image is kept constant by automatically adjusting the iris value which is a camera parameter. Semnd, t.lw gray levels of itn image portion or the user's interest
Illumination Invariant Segmentation of . . .
, 2002
"... For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model for segmentation of spatio-temporal images since 2000. This S-T MRF optimiz ..."
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For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model for segmentation of spatio-temporal images since 2000. This S-T MRF
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