Rostam Affendi Hamzah

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Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the disparity mapping for navigation of stereo vision autonomous guided vehicle using block matching algorithm. The stereo vision baseline is based on horizontal configuration. The block matching technique is briefly described with(More)
Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the region of interest in disparity mapping for stereo vision autonomous guided vehicle using block matching algorithm. This region is a reference sight of the stereo camera and tereo vision baseline is based on horizontal(More)
Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the depth evaluation in selected region of disparity mapping for stereo vision mobile robot using block matching algorithm. This region is a reference sight of the stereo camera and stereo vision baseline is based on horizontal(More)
This article presents a new stereo matching algorithm based on local method. The absolute difference (AD) algorithm works fast and precise at low texture area, however this algorithm is sensitive to radiometric distortions (i.e., contrast or brightness) and low texture areas. To overcome these problems, the proposed algorithm utilizes a combination of AD,(More)
This paper presents the solution of stereo correspondence problem occur in comparing stereo images on stereo vision mobile robot using block matching algorithm. The algorithm is using Sum of Absolute Differences (SAD). Left image works as a reference block to the right image and the output is disparity mapping with the left coordinate system. The stereo(More)
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