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Comparison of Hardware Design Complexity to Extract Depth Map from Stereo Images

机译:从立体图像提取深度图的硬件设计复杂度比较

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Computer vision technology has been researched in the field of mobile robots, intelligent vehicle navigation aids, obstacle avoidance and many others. We implement fast and accurate census transform algorithm in software and hardware for computer vision to extract depth map from different two images. We have designed in C language and Verilog hardware description language, verified by Modelsim, and implemented on FPGA for real-time processing capability. We have converted the census transform algorithm to hardware structure to compute depth map for two images in parallel processing. The resultant system extracts the depth information within search-range of 30 from 240 x 320 image using the window size of 3by3, 5by5 and 7by7, respectively.
机译:计算机视觉技术已在移动机器人,智能车辆导航辅助设备,避障等领域进行了研究。我们在计算机视觉的软件和硬件中实现了快速准确的人口普查变换算法,以从不同的两个图像中提取深度图。我们使用C语言和Verilog硬件描述语言进行了设计,并通过Modelsim进行了验证,并在FPGA上实现了实时处理能力。我们已将普查转换算法转换为硬件结构,以在并行处理中计算两个图像的深度图。结果系统分别使用3by3、5by5和7by7的窗口大小从240 x 320图像中提取搜索范围为30的深度信息。

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