• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >A relationship between human shape categorization and the statistics of natural shapes.
【24h】

A relationship between human shape categorization and the statistics of natural shapes.

机译：人类形状分类与自然形状统计之间的关系。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We studied the classification of shapes into broad natural categories, such as"animal" and "leaf", into which many shapes can proceed without overt basic-level recognition. Many shape representation models make implicit assumptions about what shape structures often occur in natural shapes, but such assumptions are not generally closely tied to real-world measurements. In order to tune a model of shape classification to the natural environment we collected statistics from a large database of real animal and leaf shapes; first we calculated the MAP skeletons of these shapes, and then computed several different statistical properties of the skeletons. These statistics allow for the creation of an "ecologically-informed" shape classification model that can generalize of many of the specific structures observed in the two classes. To investigate human shape classification subjects were shown shapes created by taking a weighted average of an animal and a leaf shape, resulting in a novel morphed shape. The task was to classify a shape as animal or leaf. Subjects easily performed this task, and their responses were strongly related to the weight used to averaged the shapes. Next, the classifier was used to obtain the likelihoods that a given morphed shape belonged the each class. These likelihood values are predictive of the subjects' responses, suggesting a relationship between human classification of shapes and the shapes' skeletal structures.
机译：我们研究了将形状分类为广泛的自然类别，例如“动物”和“叶子”，在没有明显的基本水平识别的情况下，许多形状可以继续进行。许多形状表示模型都对自然形状中经常出现的形状结构进行了隐式假设，但是这种假设通常与实际测量值并不紧密相关。为了调整形状分类模型以适应自然环境，我们从大型的真实动物和叶子形状数据库中收集了统计数据；首先，我们计算了这些形状的MAP骨架，然后计算了这些骨架的几种不同统计属性。这些统计数据允许创建“生态信息”形状分类模型，该模型可以概括在这两个类别中观察到的许多特定结构。为了研究人类的形状分类，研究人员展示了通过对动物进行加权平均而得到的形状以及叶片形状，从而产生了新颖的变形形状。任务是将形状分类为动物或叶子。受试者很容易完成这项任务，他们的反应与平均形状所用的体重密切相关。接下来，使用分类器来获得给定变形形状属于每个类别的可能性。这些似然值可预测受试者的反应，暗示人类对形状的分类与形状的骨骼结构之间的关系。

著录项

  • 作者

    Wilder, John.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Psychology General.
  • 学位 M.S.
  • 年度 2009
  • 页码 34 p.
  • 总页数 34
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 心理学;
  • 关键词

  • 入库时间 2022-08-17 11:38:26

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号