基于相位的双目收敛控制与主动视觉深度重建

Theimer W.M., Mallot H.A.
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引用次数: 104

摘要

我们提出了一种用于引导主动立体相机系统的收敛运动和计算密集视差图的技术。基于复杂Gabor过滤反应的相位差,这两个过程在相同的理论框架中被描述,模拟了视觉皮层的接受野特性。相机运动是用粗空间分辨率的输入图像来计算的,而视差图的计算则是在比例空间中使用更精细的分辨率。通过将视差范围限制在零视差附近(人类视觉系统中的Panum区域),隐式地解决了对应问题。收敛过程被解释为一种最小化全局视差的机制,从而为后续视差检测设置感兴趣的3D区域。视差图表示较小的局部差异,作为深度感知的重要线索。给出了基于视差图计算的自然场景收敛综合性能实验数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase-Based Binocular Vergence Control and Depth Reconstruction Using Active Vision

We present a technique for guiding vergence movements for an active stereo camera system and for calculating dense disparity maps. Both processes are described in the same theoretical framework based on phase differences in complex Gabor filter responses, modeling receptive field properties in the visual cortex. While the camera movements are computed with input images of coarse spatial resolution, the disparity map calculation uses a finer resolution in the scale space. The correspondence problem is solved implicitly by restricting the disparity range around zero disparity (Panum′s area in the human visual system). The vergence process is interpreted as a mechanism to minimize global disparity, thereby setting a 3D region of interest for subsequent disparity detection. The disparity map represents smaller local disparities as an important cue for depth perception. Experimental data for the integrated performance of vergence in natural scenes followed by disparity map calculations are presented.

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