Add to ORKGChanges in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a ...
We present a system for classifying the color aspect of textured surfaces having a nearly constant h...
International audienceIn this paper we present a novel method to apply photometric stereo on texture...
In the last decade, new developments in remote sensing, photogrammetry and laser scannin...
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its ...
A model-based texture recognition system which classifies image textures seen from different distanc...
This thesis is on the use of a surface reconstruction method called Photometric Stereo in Machine Vi...
As the appearance of a 3D surface texture is strongly dependent on the illumination direction, 3D su...
The appearance of a rough surface is affected by the direction from which it is lit and texture clas...
Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient realw...
Recognition of surfaces is very important in computer vision. Color and texture of a surface are two...
In this thesis we propose a standardized method for extracting illumination-invariant images and a n...
Recovery of scene shape, reflectance, and illumination are of fundamental importance to computer vis...
International audienceWithin the framework of the analysis of 3D textured environment through image ...
This paper presents a new multi-light source photometric stereo system for reconstructing images of ...
La visió és probablement el nostre sentit més dominant a partir del qual derivem la majoria d'inform...
We present a system for classifying the color aspect of textured surfaces having a nearly constant h...
International audienceIn this paper we present a novel method to apply photometric stereo on texture...
In the last decade, new developments in remote sensing, photogrammetry and laser scannin...
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its ...
A model-based texture recognition system which classifies image textures seen from different distanc...
This thesis is on the use of a surface reconstruction method called Photometric Stereo in Machine Vi...
As the appearance of a 3D surface texture is strongly dependent on the illumination direction, 3D su...
The appearance of a rough surface is affected by the direction from which it is lit and texture clas...
Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient realw...
Recognition of surfaces is very important in computer vision. Color and texture of a surface are two...
In this thesis we propose a standardized method for extracting illumination-invariant images and a n...
Recovery of scene shape, reflectance, and illumination are of fundamental importance to computer vis...
International audienceWithin the framework of the analysis of 3D textured environment through image ...
This paper presents a new multi-light source photometric stereo system for reconstructing images of ...
La visió és probablement el nostre sentit més dominant a partir del qual derivem la majoria d'inform...
We present a system for classifying the color aspect of textured surfaces having a nearly constant h...
International audienceIn this paper we present a novel method to apply photometric stereo on texture...
In the last decade, new developments in remote sensing, photogrammetry and laser scannin...