首页> 外文会议>Neural Information Processing pt.2; Lecture Notes in Computer Science; 4233 >Depth Perception of the Surfaces in Occluded Scenic Images
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Depth Perception of the Surfaces in Occluded Scenic Images

机译:被遮挡的风景图像中表面的深度感知

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摘要

The adaptive disparity filter is refined, along with the monocular feature filter designed based on neuron dynamics, and a new stere-opsis model is set up in this study. The disparities of the matched binocular features in stereo image pair are detected by the adaptive disparity filter, and removed by the monocular feature filter, only leaving those unmatched monocular features to be added to all depth planes determined by the disparities of the matched binocular features. Finally, visible surface perception is generated by the closed boundaries in the corresponding depth plane during the filling-in processing. By the above mechanism, the depth perception of surfaces in the occluded scenic images is realized, also, the figure-ground segmentation.
机译:改进了自适应视差滤镜以及基于神经元动力学设计的单眼特征滤镜,并建立了新的立体视模型。立体图像对中匹配的双眼特征的差异由自适应差异过滤器检测,并由单眼特征过滤器消除,仅将那些不匹配的单眼特征添加到由匹配的双目特征的差异确定的所有深度平面中。最后,在填充过程中,相应深度平面中的封闭边界会生成可见的表面感知。通过上述机制,实现了被遮挡的风景图像中的表面的深度感知,以及人物地面分割。

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