Rotating periscope based 3D sensor

B. Reskó, M. Seebauer, P. Korondi, P. Baranyi
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Abstract

For humans and visual animals vision it is the primary and the most sophisticated perceptual modality to get information about the surrounding world. Depth perception is a part of vision allowing to accurately determine the distance to an object which makes it an important visual task. Humans have two eyes with overlapping visual fields that enable stereo vision and thus space perception. Some birds however do not have overlapping visual fields, and compensate this lask by moving their heads, which in turn makes space perception possible using the motion parallax as a visual cue. This paper presents a solution using an optomechanical filter that was inspired by the way birds observe their environment. The filtering is done using two different approaches:using motion blur during motion parallax, and using the optical flow algorithm. The two methods have different advantages and drawbacks, which will be discussed in the paper. The proposed system can be used in robotics for 3D space perception.
基于旋转潜望镜的3D传感器
对于人类和视觉动物来说,视觉是获取周围世界信息的最主要和最复杂的感知方式。深度感知是视觉的一部分,可以准确地确定物体的距离,这使得它成为一项重要的视觉任务。人类有两只眼睛,视野重叠,使立体视觉和空间感知成为可能。然而,有些鸟类没有重叠的视野,它们通过移动头部来弥补这一缺陷,这反过来又使空间感知成为可能,利用运动视差作为视觉线索。本文提出了一种解决方案,使用光机械过滤器,灵感来自鸟类观察环境的方式。滤波使用两种不同的方法:在运动视差期间使用运动模糊,并使用光流算法。这两种方法各有优缺点,本文将对此进行讨论。该系统可用于机器人的三维空间感知。
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