Nonlinear Imaging using Object-Dependent Illumination

Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging

It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the viewing and the illumination direction, the surface orientation and the type of surface. For the last years, different works have addressed that problem, proposing invariant representations to the previous factors for co...

Illumination Independent Object Recognition

Object - Based Illumination Classi

Estimation of Scene Illumination from a single image or an image sequence has been widely studied in computer vision. The approach presented in this paper, introduces two new issues: 1) Illumination classi cation is performed rather than illumination estimation. 2) An object based approach is used for Illumination Evaluation. Thus pixels associated with an object are considered in the illuminat...

Illumination invariant object recognition

Varying illumination is a severe problem for existing face recognition algorithms. Altering the light direction from left to right, for example, causes a change of contrast in large face regions and lets most face recognition algorithms fail. Theoretical results, based on the law of incoherent light superposition, provide the solid ground on which a new illumination invariant recognition algori...

Fast 3D object recognition using multiple color coded illumination

The acquisition and measurement of twoand threedimensional contours of objects are important tasks in modern production processes and quality control. Specially, the nontactile methods like optical triangulation and the digital image processing get more and more importance. The color image processing in combination with a color coded illumination could be used to realize new methods of nontacti...