Rostam Affendi Hamzah

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This paper presents a method to solve the correspondence problem in matching the stereo image using Sum of Absolute Differences (SAD) algorithm. The computer vision application in this paper is using an autonomous vehicle which has a stereo pair on top of it. The estimation of range is using curve fitting tool (cftool) for each detected object or obstacles.(More)
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)
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)
This paper presents a visualization of image distortion on camera calibration for stereo vision application. The 3D image plane in a group of target or image during the process of stereo pair calibration is also discussed. The extrinsic parameters of camera calibration can be viewed in 3D image or scene which contains the rotation and translation of vector.(More)
This paper presents an obstacle detection and avoidance of mobile robot using stereo camera for indoor environment. Block matching algorithm is solved the correspondence problem occurred in comparing stereo images (left and right sensors of the camera). The algorithm uses Sum of Absolute Differences (SAD). Left image works as a reference block to the right(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 paper presents an analysis of range and pixel intensity region of interest in selected area or segment of disparity mapping in application of stereo vision. The mapping is about to deal with the intensities of pixels which allocate the depths of an image and can be extracted to get the distance values. This region is a reference view of the stereo(More)