摘要针对3维景深图像仅仅具有距离信息的局限性，提出景深面元的概念，并利用基于景深面元的法向量聚类法对景深图像进行基本的识别．通过景深面元，将Sobel算子引入到景深图像的边缘检测上来，提出了一种简易的景深图像边缘识别方法．为了满足3维景深图像重构和识别的实时性要求，采用了ARM（advanced RISC machine）+DSP（digital signal processing）的硬件平台架构．实验结果表明，基于景深面元的3维识别和边缘检测算法是有效可行的．
Abstract：A depth-of-field element theory is presented to conquer the limitation that the 3D depth-of-field image only has the distance information.The normal vector clustering method based on depth-of-field element is applied to recognizing depth-of-field image.Though depth-of-field element,Sobel operator is introduced into the detection of depth-of-field image, and a simple edge detection way is proposed for depth-of-field image.An embedded system using ARM(advanced RISC machine) + DSP(digital signal processing) is adopted as the platform for data processing and visualization to meet the requirement of 3D depth-of-field image reconstruction and recognition for real time performance.Experimental results validate the effectiveness of the 3D recognition and edge detection method based on depth-of-field element.
陈伟海, 高铭辰, 王建华. 基于激光测距仪的3维景深图像重构与辨识[J]. 机器人, 2010, 32(6): 822-827.
CHEN Weihai, GAO Mingchen, WANG Jianhua. Reconstruction and Recognition of 3D Depth-of-Field Image Based on Laser Range Radar. ROBOT, 2010, 32(6): 822-827.
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