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主动学习后场景识别中的视图依赖性。

View dependence in scene recognition after active learning.

作者信息

Christou C G, Bülthoff H H

机构信息

Max-Planck Institute for Biological Cybernetics, Tübingen, Germany.

出版信息

Mem Cognit. 1999 Nov;27(6):996-1007. doi: 10.3758/bf03201230.

DOI:10.3758/bf03201230
PMID:10586576
Abstract

Human spatial encoding of three-dimensional navigable space was studied, using a virtual environment simulation. This allowed subjects to become familiar with a realistic scene by making simulated rotational and translational movements during training. Subsequent tests determined whether subjects could generalize their recognition ability by identifying novel-perspective views and topographic floor plans of the scene. Results from picture recognition tests showed that familiar direction views were most easily recognized, although significant generalization to novel views was observed. Topographic floor plans were also easily identified. In further experiments, novel-view performance diminished when active training was replaced by passive viewing of static images of the scene. However, the ability to make self-initiated movements, as opposed to watching dynamic movie sequences, had no effect on performance. These results suggest that representation of navigable space is view dependent and highlight the importance of spatial-temporal continuity during learning.

摘要

利用虚拟环境模拟研究了人类对三维可导航空间的空间编码。这使受试者在训练过程中通过进行模拟旋转和平移运动来熟悉逼真的场景。随后的测试确定受试者是否能够通过识别场景的新视角视图和地形平面图来推广他们的识别能力。图片识别测试结果表明,熟悉的方向视图最容易被识别,尽管也观察到对新视图有显著的推广。地形平面图也很容易识别。在进一步的实验中,当主动训练被场景静态图像的被动观看取代时,新视图的表现会下降。然而,与观看动态电影序列相反,自主运动的能力对表现没有影响。这些结果表明,可导航空间的表征依赖于视图,并突出了学习过程中时空连续性的重要性。

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