首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Stereo using monocular cues within the tensor voting framework
【24h】

Stereo using monocular cues within the tensor voting framework

机译:在张量投票框架中使用单眼线索进行立体声

获取原文
获取原文并翻译 | 示例

摘要

We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficulties within a perceptual organization framework, considering both binocular and monocular cues. Initially, matching candidates for all pixels are generated by a combination of matching techniques. The matching candidates are then embedded in disparity space, where perceptual organization takes place in 3D neighborhoods and, thus, does not suffer from problems associated with scanline or image neighborhoods. The assumption is that correct matches produce salient, coherent surfaces, while wrong ones do not. Matching candidates that are consistent with the surfaces are kept and grouped into smooth layers. Thus, we achieve surface segmentation based on geometric and not photometric properties. Surface overextensions, which are due to occlusion, can be corrected by removing matches whose projections are not consistent in color with their neighbors of the same surface in both images. Finally, the projections of the refined surfaces on both images are used to obtain disparity hypotheses for unmatched pixels. The final disparities are selected after a second tensor voting stage, during which information is propagated from more reliable pixels to less reliable ones. We present results on widely used benchmark stereo pairs.
机译:我们解决了两个静态图像中匹配的基本问题。剩下的挑战与阻塞和缺乏纹理有关。我们的方法在考虑双眼和单眼线索的情况下,在感知组织框架内解决了这些困难。最初,通过匹配技术的组合来生成所有像素的匹配候选。然后将匹配的候选对象嵌入视差空间,在视差空间中在3D邻域中进行感知组织,因此不会遭受与扫描线或图像邻域相关的问题的困扰。假定正确的匹配会产生明显而连贯的表面,而错误的匹配则不会。与表面一致的匹配候选者将保留并分组为平滑层。因此,我们基于几何而非光度特性实现了表面分割。由于遮挡而导致的表面过度膨胀,可以通过删除两个图像中投影的颜色与同一表面的邻居在颜色上不一致的匹配项来进行校正。最后,在两个图像上的精制表面的投影用于获得不匹配像素的视差假设。在第二张量投票阶段之后选择最终视差,在此期间,信息将从更可靠的像素传播到较不可靠的像素。我们介绍了广泛使用的基准立体声对的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号