Mostafa Gadal-Haqq M. Mostafa

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This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape f r om shading in order to improve the 3D reconstruction of visible surfaces of 3D objects. The integration process is based o n p r opagating the error difference b etween the two data sets by tting a surface t o that diierence and using(More)
This paper proposes an automatic target recognition (ATR) system based on the three-dimensional (3D) reconstruction of the target from an image sequence. The main contribution of this work is twofold: (1) we present a modi®ed voxel coloring reconstruction algorithm and (2) we employ the 3D reconstructed target model to generate the front and side target(More)
This paper presents a new method for integrating diierent low level vision modules, stereo and shape from shading, in order to improve the 3D reconstruction of visible surfaces of objects from intensity images. The integration process is based o n c orrecting the 3D visible surface obtained from shape from shading using the sparse depth measurements from(More)