Estimation of 3D Changes in Texture Image Sequence using Cloud Computing
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초록
The robot navigation in outdoor environments is a daunting task as it requires the robots to sense the perceptual changes in their environment. One of the possible methods for robot navigation is to use the image processing techniques to analyze the images captured by the robot for detecting the changes in position of the robot. The images captured by the robot camera thus results in a sequence of texture image whereby the appearance of the texture changes with the motion of the robot and with changes in lighting conditions. The detection of these perceptual changes from the texture image sequence is an expensive task if conventional computing resources are utilized. This paper presents the application of a cost effective cloud computing infrastructure for the task of 3D change estimation in texture sequence images. The utilization of cloud computing infrastructure helped in providing a time efficient and real time robot navigation system.
Abstract
The robot navigation in outdoor environments is a daunting task as it requires the robots to sense the perceptual changes in their environment. One of the possible methods for robot navigation is to use the image processing techniques to analyze the images captured by the robot for detecting the changes in position of the robot. The images captured by the robot camera thus results in a sequence of texture image whereby the appearance of the texture changes with the motion of the robot and with changes in lighting conditions. The detection of these perceptual changes from the texture image sequence is an expensive task if conventional computing resources are utilized. This paper presents the application of a cost effective cloud computing infrastructure for the task of 3D change estimation in texture sequence images. The utilization of cloud computing infrastructure helped in providing a time efficient and real time robot navigation system.
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