What are the Visual Features Underlying Rapid Object Recognition?
What are the Visual Features Underlying Rapid Object Recognition?
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DOI：
10.3389/fpsyg.2011.00326
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发表时间：
2011
影响因子：
3.8
通讯作者：
Serre T
中科院分区：
文献类型：
--
作者：
Crouzet SM;Serre T
近年来，机器视觉的研究进展非常显著。强大的人脸检测和识别算法已经很容易为消费者所用，用于通用对象识别的现代计算机视觉算法现在正在应对自然视觉场景的丰富性和复杂性。与强调图形-背景分割和部分之间的空间信息的作用的对象识别的早期视觉模型不同，最近成功的方法是基于松散的图像特征集合的计算，而没有预先分割或任何明确的空间关系编码。虽然这些模型仍然是视觉处理的简单模型，但他们认为，原则上，自下而上激活松散的图像特征集合可以支持自然对象类别的快速识别，并在更复杂的视觉例程和注意力机制发生之前提供初始的粗糙视觉表示。专注于生物上合理的计算模型（自下而上）前注意的视觉识别，我们回顾了一些关键的视觉功能，已在文献中描述。我们讨论了这些基于特征的表示与视觉心理学的经典理论的一致性，并测试了它们在快速对象分类任务中对人类表现的解释能力。
Research progress in machine vision has been very significant in recent years. Robust face detection and identification algorithms are already readily available to consumers, and modern computer vision algorithms for generic object recognition are now coping with the richness and complexity of natural visual scenes. Unlike early vision models of object recognition that emphasized the role of figure-ground segmentation and spatial information between parts, recent successful approaches are based on the computation of loose collections of image features without prior segmentation or any explicit encoding of spatial relations. While these models remain simplistic models of visual processing, they suggest that, in principle, bottom-up activation of a loose collection of image features could support the rapid recognition of natural object categories and provide an initial coarse visual representation before more complex visual routines and attentional mechanisms take place. Focusing on biologically plausible computational models of (bottom-up) pre-attentive visual recognition, we review some of the key visual features that have been described in the literature. We discuss the consistency of these feature-based representations with classical theories from visual psychology and test their ability to account for human performance on a rapid object categorization task.
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影响因子：
1.8
作者：
Balas B;Nakano L;Rosenholtz R
通讯作者：
Rosenholtz R
影响因子：
3.8
作者：
Crouzet SM;Thorpe SJ
通讯作者：
Thorpe SJ
影响因子：
1.9
作者：
FUKUSHIMA, K
通讯作者：
FUKUSHIMA, K
DOI：
10.1073/pnas.0800968105
发表时间：
2008-09-23
影响因子：
11.1
作者：
Epshtein, Boris;Lifshitz, Ita;Ullman, Shimon
通讯作者：
Ullman, Shimon
影响因子：
1.8
作者：
Bacon-Macé, N;Macé, MJM;Thorpe, SJ
通讯作者：
Thorpe, SJ