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2 Machine Graphics and Vision

2 2011

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Efficient Implementation of Stereovision Algorithms for Graphics Processing Unit in DirectShow Technology

Szajerman D., Pelczynski P.

Machine Graphics and Vision

2011

Vol. 20, No. 2

139-156

Stereovision is a passive technique for estimation of depth in 3D scenes. Unfortunately, depth estimation in this imaging technique is computationally demanding. We show that stereovision matching algorithms can be efficiently mapped onto the present-day graphics processing units (GPUs). A number of modifications to the original image disparity estimation algorithm have been proposed that make running its computation on GPU platforms particularly efficient. A complete depth estimation system was implemented in GPU, covering correction of camera distortions, image rectification and disparity estimation. To obtain modularity of developed software, the DirectShow multimedia technology was used. Examples, computed depth maps are shown, and time performances of the proposed algorithms are outlined. The developed system has proved the usefulness of both GPU implementation and the DirectShow technology in scene depth estimation.

Disparity Modeling by Second-degree Surfaces for Unsupervised Segmentation of Stereoscopic Image Sequences

Pelczynski P.

Machine Graphics and Vision

2011

Vol. 20, No. 3

355-377

The paper describes a three-dimensional scene analysis technique, the goal of which is the segmentation of a sequence of images obtained from a stereoscopic camera system. The proposed scheme allows for continuous detection of new objects and tracking of those that have already been detected. Segmentation is the result of an algorithm that classifes disparity image points into one of a number of model surfaces. Objects are modelled with a set of second-degree surfaces described in the depth image space. The developed algorithm is to be implemented in an obstacle avoidance aid for visually impaired persons.