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Recognition of object contours from stereo images: an edge combination approach

机译:从立体图像中识别物体轮廓:一种边缘组合方法

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摘要

We present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detection in images of natural scenes. After computing the disparity map, we generate a so-called "edge combination image", which relies on those edges of the original image that are also present in the stereo map. We describe an algorithm to identify corresponding intensity and depth edges, which are usually slightly displaced due to nonperfect stereo reconstruction. Our experiments demonstrate how the proposed edge combination approach can be used in conjunction with an active contours algorithm to achieve better segmentation results.
机译:我们提出了一种算法,将来自立体深度图的边缘信息与原始强度/彩色图像的边缘相结合,以改善自然场景图像中的轮廓检测。在计算完视差图之后,我们生成了一个所谓的“边缘组合图像”,它依赖于立体图像中也存在的原始图像的那些边缘。我们描述了一种算法,用于识别相应的强度和深度边缘,这些边缘通常由于不完善的立体声重建而略微移位。我们的实验演示了如何将提出的边缘组合方法与主动轮廓算法结合使用,以实现更好的分割效果。

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