Theo Gevers - Academia.edu (original) (raw)

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Papers by Theo Gevers

Research paper thumbnail of Color for Image Indexing and Retrieval

Computer Vision and Image Understanding, 2004

ABSTRACT

Research paper thumbnail of Expression-Invariant Age Estimation

Research paper thumbnail of Enigma: An Image Retrieval System

Research paper thumbnail of A Statistical Method for 2D Facial Landmarking

Ieee Transactions on Image Processing, 2012

Research paper thumbnail of The University of Amsterdam's Concept Detection System at ImageCLEF 2009

Research paper thumbnail of Classifying multimedia documents by merging textual and pictorial information

Proceedings 2003 International Conference on Image Processing, 2003

ABSTRACT

Research paper thumbnail of A Perceptual Analysis of Distance Measures for Color Constancy Algorithms

Journal of the Optical Society of America a, 2009

Research paper thumbnail of Classification of Color Edges in Video into Shadow-Geometry, Highlight, or Material Transitions

Ieee Transactions on Multimedia, 2003

Research paper thumbnail of Object recognition based on photometric color invariants

Research paper thumbnail of Learning Photometric Invariance for Object Detection

International Journal of Computer Vision, Apr 22, 2010

Research paper thumbnail of ENTERFACE Summer Workshop on Multimodal Interfaces

Research paper thumbnail of Physics-based edge evaluation for improved color constancy

Proceedings Cvpr Ieee Computer Society Conference on Computer Vision and Pattern Recognition Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Jun 20, 2009

Research paper thumbnail of Chromatic Distribution Affects Color Constancy

Research paper thumbnail of Color Based Object Recognition

Research paper thumbnail of A comparative study of several color models for color image invariant retrieval

Research paper thumbnail of Color Constancy by Derivative-based Gamut Mapping

Research paper thumbnail of Perceptual analysis of distance measures for color constancy algorithms

Journal of the Optical Society of America a Optics Image Science and Vision, Oct 1, 2009

Research paper thumbnail of Color mode filtering

Proceedings 2001 International Conference on Image Processing, Feb 1, 2001

Research paper thumbnail of Evaluating color and shape invariant image indexing for consumer photography

In this paper, indexing is used as a common framework to represent, index and retrieve images on ... more In this paper, indexing is used as a common framework to represent, index and retrieve images on the basis of color and shape invariants. To evaluate the use of color and shape invariants for the purpose of image retrieval, experiments have been conducted on a database consisting of 500 images of multicolored objects. Images in the database show a considerable amount of noise, specularities, occlusion and fragmentation resulting in a good representation of views from everyday life as it appears in home video and consumer photography in general. The experimental results show that image retrieval based on both color and shape invariants provides excellent retrieval accuracy. Image retrieval based on shape invariants yields poor discriminative power and worst computational performance whereas color based invariants image retrieval provides high discrimination power and best computational performance. Furthermore, the experimental results reveal that identifying multicolored objects entirely on the basis of color invariants is to a large degree robust to partial occlusion and a change in viewing position.

Research paper thumbnail of An Approach to Image Retrieval for Image Databases

Proceedings of the 4th International Conference on Database and Expert Systems Applications, 1993

Research paper thumbnail of Color for Image Indexing and Retrieval

Computer Vision and Image Understanding, 2004

ABSTRACT

Research paper thumbnail of Expression-Invariant Age Estimation

Research paper thumbnail of Enigma: An Image Retrieval System

Research paper thumbnail of A Statistical Method for 2D Facial Landmarking

Ieee Transactions on Image Processing, 2012

Research paper thumbnail of The University of Amsterdam's Concept Detection System at ImageCLEF 2009

Research paper thumbnail of Classifying multimedia documents by merging textual and pictorial information

Proceedings 2003 International Conference on Image Processing, 2003

ABSTRACT

Research paper thumbnail of A Perceptual Analysis of Distance Measures for Color Constancy Algorithms

Journal of the Optical Society of America a, 2009

Research paper thumbnail of Classification of Color Edges in Video into Shadow-Geometry, Highlight, or Material Transitions

Ieee Transactions on Multimedia, 2003

Research paper thumbnail of Object recognition based on photometric color invariants

Research paper thumbnail of Learning Photometric Invariance for Object Detection

International Journal of Computer Vision, Apr 22, 2010

Research paper thumbnail of ENTERFACE Summer Workshop on Multimodal Interfaces

Research paper thumbnail of Physics-based edge evaluation for improved color constancy

Proceedings Cvpr Ieee Computer Society Conference on Computer Vision and Pattern Recognition Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Jun 20, 2009

Research paper thumbnail of Chromatic Distribution Affects Color Constancy

Research paper thumbnail of Color Based Object Recognition

Research paper thumbnail of A comparative study of several color models for color image invariant retrieval

Research paper thumbnail of Color Constancy by Derivative-based Gamut Mapping

Research paper thumbnail of Perceptual analysis of distance measures for color constancy algorithms

Journal of the Optical Society of America a Optics Image Science and Vision, Oct 1, 2009

Research paper thumbnail of Color mode filtering

Proceedings 2001 International Conference on Image Processing, Feb 1, 2001

Research paper thumbnail of Evaluating color and shape invariant image indexing for consumer photography

In this paper, indexing is used as a common framework to represent, index and retrieve images on ... more In this paper, indexing is used as a common framework to represent, index and retrieve images on the basis of color and shape invariants. To evaluate the use of color and shape invariants for the purpose of image retrieval, experiments have been conducted on a database consisting of 500 images of multicolored objects. Images in the database show a considerable amount of noise, specularities, occlusion and fragmentation resulting in a good representation of views from everyday life as it appears in home video and consumer photography in general. The experimental results show that image retrieval based on both color and shape invariants provides excellent retrieval accuracy. Image retrieval based on shape invariants yields poor discriminative power and worst computational performance whereas color based invariants image retrieval provides high discrimination power and best computational performance. Furthermore, the experimental results reveal that identifying multicolored objects entirely on the basis of color invariants is to a large degree robust to partial occlusion and a change in viewing position.

Research paper thumbnail of An Approach to Image Retrieval for Image Databases

Proceedings of the 4th International Conference on Database and Expert Systems Applications, 1993

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