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首页> 外文期刊>Journal of vision >Bending the truth: Generative models of shape for inferring transformations
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Bending the truth: Generative models of shape for inferring transformations

机译:打破事实:推断变形的生成模型

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We can usually tell whether a tin can on the ground has been crushed or kicked, or if a cookie on a plate has been bitten. In general, humans readily make judgments about the generative processes and transformations that have been applied to objects. Conversely, our ability to recognize objects is often robust across such shape transformations: we can still identify the can even though it has been dented. This ability to determine and discount the causal history of objects suggests the visual system may separate the observed shape of an object into original (untransformed) elements plus the transformations that were applied to it. However, almost no empirical work has investigated to what extent we can extract information about shape transformations and which structural and configural information is used to determine causal history. We conducted two experiments in which we sought to shed light on these questions, using bending as an example transformation. In Experiment 1, we investigated whether subjects could detect and asymmetrically match the degree of transformation (here bending) applied to parametrically generated random 3D shapes. Subjects adjusted the degree of bend applied to a standard object until it appeared as bent as the test object, which had a different 3D orientation. In Experiment 2, observers had to identify the individual objects from Experiment 1 across different transformations. Subjects saw bent versions of each shape and had to identify the corresponding object from a set of untransformed 3D shapes. From our two studies, we conclude that subjects extract information about certain transformations applied to shapes, while ignoring other differences. Our results therefore provide first evidence for scission of a shapes representation into its causes a base shape and a transformation applied to it.
机译:通常,我们可以判断出地面上的锡罐是否被压碎或踢了,或者盘子上的饼干是否被咬了。通常,人类很容易对已应用于对象的生成过程和转换做出判断。相反,在这种形状转换中,我们识别对象的能力通常很强健:即使罐头已经凹陷,我们仍然可以识别罐头。这种确定和消除对象因果关系历史的能力表明,视觉系统可以将观察到的对象形状分离为原始(未变换)元素以及应用于该对象的变换。但是,几乎没有经验研究调查到什么程度我们可以提取有关形状变换的信息以及使用哪些结构和配置信息来确定因果关系历史。我们进行了两个实验,以弯曲为例,试图阐明这些问题。在实验1中,我们调查了对象是否可以检测并非对称地匹配应用于参数生成的随机3D形状的变换程度(此处为弯曲)。受试者调整了施加到标准对象上的弯曲程度,直到它看起来像具有不同3D方向的测试对象一样弯曲。在实验2中,观察者必须跨不同的转换识别实验1中的各个对象。受试者看到了每种形状的弯曲版本,并且不得不从一组未变形的3D形状中识别出相应的对象。从我们的两项研究中,我们得出的结论是,对象会提取有关应用于形状的某些变换的信息,而忽略其他差异。因此,我们的结果为将形状表示切入其成因提供了初步证据,并对其应用了变换。

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