Depth map from the combination of matched points with active contours

E. Martinez, C. Torras
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引用次数: 1

Abstract

This paper describes the analysis of an active contour fitted to a target in a sequence of images recorded by a freely moving uncalibrated camera. The motivating application is the visual guidance of a robot towards a target. Contour deformations are analysed to extract the scaled depth of the target, and to explore the feasibility of 3D egomotion recovery. The scaled depth is used to compute the time to contact, which provides a measure of distance to the target, and also to improve the common depth maps obtained from point matches, which are a valuable input for the robot to avoid obstacles.
深度图由匹配点与活动轮廓的组合
本文描述了在自由移动的未校准相机记录的一系列图像中拟合目标的活动轮廓的分析。激励应用是机器人朝向目标的视觉引导。分析轮廓变形,提取目标的缩放深度,探索三维自运动恢复的可行性。缩放后的深度用于计算接触时间,从而提供了与目标的距离度量,并改进了从点匹配中获得的常见深度图,这是机器人避开障碍物的宝贵输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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