Fusion of range and reflectance image data using Markov random fields

Griff L. Bilbro; W.E. Snyder

doi:10.1109/isic.1988.65422

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Fusion of range and reflectance image data using Markov random fields

Griff L. Bilbro W.E. Snyder

Year: 2003 Pages: 154-158

DOI: 10.1109/isic.1988.65422

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Abstract

The problem of fusion of range and luminance data is addressed. Fusion is accomplished by minimization of an objective function which requires that the observed brightness agree with both the observed range image and a reflectivity model. The performance of this technique is evaluated.< >

Keywords:

Range (aeronautics) Reflectivity Image fusion Image (mathematics) Luminance Computer science Markov chain Brightness Minification Fusion Artificial intelligence Sensor fusion Function (biology) Markov process Computer vision Mathematics Mathematical optimization Physics Optics Statistics Materials science Machine learning

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Topics

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fusion of range and reflectance image data using Markov random fields

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