【24h】

Putting Objects in Perspective

机译:把物体放在透视

获取原文

摘要

Image understanding requires not only individually estimating elements of the visual world but also capturing the interplay among them. In this paper, we provide a framework for placing local object detection in the context of the overall 3D scene by modeling the interdependence of objects, surface orientations, and camera viewpoint. Most object detection methods consider all scales and locations in the image as equally likely. We show that with probabilistic estimates of 3D geometry, both in terms of surfaces and world coordinates, we can put objects into perspective and model the scale and location variance in the image. Our approach reflects the cyclical nature of the problem by allowing probabilistic object hypotheses to refine geometry and vice-versa. Our framework allows painless substitution of almost any object detector and is easily extended to include other aspects of image understanding. Our results confirm the benefits of our integrated approach.
机译:图像理解不仅需要单独估计视觉世界的元素,还需要捕获它们之间的相互作用。在本文中,我们通过建模对象,表面方向和相机视点的相互依存来提供一个框架,用于将局部对象检测放置在整个3D场景的上下文中。大多数对象检测方法认为图像中的所有尺度和位置都同样可能。我们表明,对于3D几何体的概率估计,都在表面和世界坐标方面,我们可以将物体放入透视并模拟图像中的比例和位置方差。我们的方法通过允许概率的对象假设来改进几何形状和反之亦然,反映了问题的周期性。我们的框架允许无痛替换几乎任何对象探测器,并且很容易扩展到包括图像理解的其他方面。我们的结果证实了我们综合方法的好处。

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