Active vision: 3D from an image sequence

A. Shmuel, M. Werman
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引用次数: 49

Abstract

An approach to active depth perception using stereo methods is proposed. Active vision is characterized by gaze control for input-dependent data acquisition, coupled with a treatment of the reliability of the acquired information. An active solution is proposed for the task of computing 3D depth from an image sequence, where the camera can be controlled. After each phase of computation (between pictures), when information is still needed, the camera is placed in a new optimal position for the next picture. This process is repeated until sufficient accuracy is achieved. The proposed approach improves the ability to perform tasks in a noisy environment. The accuracy and reliability of solutions are improved, and the quantity of necessary data and computations is reduced.<>
主动视觉:来自图像序列的3D
提出了一种基于立体视觉的主动深度感知方法。主动视觉的特点是注视控制输入依赖的数据采集,再加上对获取信息的可靠性处理。提出了一种从图像序列计算三维深度的主动解决方案,其中相机可以控制。在每个计算阶段(图片之间),当仍然需要信息时,相机被放置在一个新的最佳位置,以拍摄下一张图片。重复此过程,直到获得足够的精度。提出的方法提高了在噪声环境中执行任务的能力。提高了解的准确性和可靠性,减少了必要的数据量和计算量。
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