Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis.
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis.
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DOI：
10.3389/fncom.2014.00083
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发表时间：
2014
影响因子：
3.2
通讯作者：
Egelhaaf M
中科院分区：
文献类型：
--
作者：
Schwegmann A;Lindemann JP;Egelhaaf M
了解环境的深度结构对于在许多行为背景下移动动物至关重要，例如避免碰撞、瞄准物体或空间导航。深度信息的一个重要来源是运动视差。这一强有力的线索是在解释性自我运动过程中产生的，视网膜上的图像是附近物体的移动速度比远处物体的移动速度快。为了研究视觉运动路径如何表示基于运动的深度信息，我们分析了其对在具有广泛深度结构的自然杂乱环境中记录的图像序列的响应。分析是在实验验证的昆虫视觉运动路径模型的基础上进行的，其核心元素是相关型基本运动检测器（EMD）。我们分析的关键结果是，绝对EMD响应，即，运动能量轮廓表示在以大致恒定的速度进行的解释性自运动期间环境结构的对比度加权接近度。换句话说，EMD阵列的输出突出显示附近对象的轮廓。这一结论在很大程度上是独立的EMD的空间汇集的规模，并证实了从自然图像序列中消除深度结构后，通过仔细检查的运动能量分布。因此，良好建立的相关型EMD的速度和纹理特性的运动刺激的依赖性似乎是有利的，用于表示在计算上吝啬的方式有关环境的行为相关信息。
Knowing the depth structure of the environment is crucial for moving animals in many behavioral contexts, such as collision avoidance, targeting objects, or spatial navigation. An important source of depth information is motion parallax. This powerful cue is generated on the eyes during translatory self-motion with the retinal images of nearby objects moving faster than those of distant ones. To investigate how the visual motion pathway represents motion-based depth information we analyzed its responses to image sequences recorded in natural cluttered environments with a wide range of depth structures. The analysis was done on the basis of an experimentally validated model of the visual motion pathway of insects, with its core elements being correlation-type elementary motion detectors (EMDs). It is the key result of our analysis that the absolute EMD responses, i.e., the motion energy profile, represent the contrast-weighted nearness of environmental structures during translatory self-motion at a roughly constant velocity. In other words, the output of the EMD array highlights contours of nearby objects. This conclusion is largely independent of the scale over which EMDs are spatially pooled and was corroborated by scrutinizing the motion energy profile after eliminating the depth structure from the natural image sequences. Hence, the well-established dependence of correlation-type EMDs on both velocity and textural properties of motion stimuli appears to be advantageous for representing behaviorally relevant information about the environment in a computationally parsimonious way.
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影响因子：
2.8
作者：
Geurten, Bart R. H.;Kern, Roland;Egelhaaf, Martin
通讯作者：
Egelhaaf, Martin
影响因子：
1.8
作者：
Borst, A;Reisenman, C;Haag, J
通讯作者：
Haag, J
影响因子：
9.2
作者：
Barnett, Paul D.;Nordstroem, Karin;O'Carroll, David C.
通讯作者：
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在受昆虫生物学启发的自然场景中进行光流编码的强大模型。
影响因子：
4.3
作者：
Brinkworth, Russell S. A.;O'Carroll, David C.
通讯作者：
O'Carroll, David C.
影响因子：
1.9
作者：
Franz, MO;Krapp, HG
通讯作者：
Krapp, HG