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Perceived depth analysis for view navigation of stereoscopic three-dimensional models

机译:立体三维模型视图导航的感知深度分析

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This paper addresses how to define and control the perceived depth when rendering a single stereoscopic three-dimensional (3-D) model. In most 3-D manipulation software, the control of view navigation is the most important feature needed to visualize 3-D scenes of good quality. In a stereoscopic 3-D situation, however, this becomes more complex. We used two factors, parallax range and average parallax, to quantify the 3-D effect of rendering a 3-D model. After an experiment using subjective questionnaires, the fusional limit and depth perception of 22 subjects were regressed as paraboloid functions of parallax range and average parallax. Then, the comfort region, which is defined according to these parameters, was used again for developing an auto-adjustment algorithm for stereoscopic view navigation. This algorithm iteratively adjusts the parameters of a virtual stereo camera and simultaneously restrains parallax range and average parallax within a comfortable region. Finally, by using questionnaires and critical fusion frequency tests, we verified that this algorithm can significantly improve the comfort index of a user in customary operations.
机译:本文介绍了如何在渲染单个立体三维(3-D)模型时定义和控制感知深度。在大多数3D操纵软件中,视图导航的控制是可视化高质量3D场景所需的最重要功能。然而,在立体3-D情况下,这变得更加复杂。我们使用视差范围和平均视差这两个因素来量化渲染3-D模型的3-D效果。在使用主观问卷进行实验后,将22位受试者的融合极限和深度感知回归为视差范围和平均视差的抛物面函数。然后,根据这些参数定义的舒适区域再次用于开发立体视图导航的自动调整算法。该算法迭代地调整虚拟立体相机的参数,同时将视差范围和平均视差限制在舒适的区域内。最后,通过使用问卷和关键融合频率测试,我们验证了该算法可以显着提高用户在常规操作中的舒适度指标。

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