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Silhouette Processing Via Mathematical Morphology with Pose-Aware Structuring Elements Based on 3D Model

机译:基于3D模型的具有姿势识别结构元素的数学形态学轮廓处理

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In the paper, the method of poseaware silhouette processing is presented. Morphological closing is proposed to enhance segmented silhouette object. The contribution of the work is adaptation of structuring element used for mathematical morphology erosions and dilations. It is proposed to use camera parameters, 3D model of the scene, model of the silhouette and its position to compute structuring element adequate to the individual projected to the camera image. Structuring element computation and basic morphology operators were implemented in OpenCL environment and tested on parallel GPU platform. Comparison with utility software packages is provided and results are briefly discussed.
机译:本文提出了姿势姿势轮廓处理的方法。提出形态学闭合以增强分割轮廓对象。这项工作的贡献是对用于数学形态侵蚀和扩张的结构元素进行了修改。建议使用相机参数,场景的3D模型,轮廓模型及其位置来计算适合于投影到相机图像的个体的结构元素。结构元素计算和基本形态运算符在OpenCL环境中实现,并在并行GPU平台上进行了测试。提供与实用程序软件包的比较,并简要讨论了结果。

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