MULTIPLE REPRESENTATIONS OF OBJECT SHAPE
物体形状的多种表示
基本信息
- 批准号:2710245
- 负责人:
- 金额:$ 1.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1999
- 资助国家:美国
- 起止时间:1999-01-21 至
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (Applicant's Abstract): The proposed research will investigate
the representations of shape that permit us to recognize objects at multiple
levels of abstraction. I hypothesize that a primary representation-which is
a categorical description of an object's parts and their
interrelations-provides abstract and relatively view-invariant information
that is useful for determining an object's general class (e.g. a car) and
that a secondary representation-which is a more viewpoint-sensitive (and
perhaps view-based) metrically-rich representation-provides a basis for
determining an object s specific identify (e.g. "my" car). The proposed
research will contribute to the growing body of findings supporting the
notion of multiple, integrated representation of shape for object
recognition. Moreover, the proposed research will introduce a new
experimental method for identifying these primary and secondary
representations.
The proposed research introduces a new framework for studying object
recognition at multiple levels of abstraction. Our ability to recognize
objects at multiple levels of abstraction is centrally important:
recognizing objects as members of a general class but not distinguishing
individual instances would be decidedly maladaptive; and recognizing
instances out failing to appreciate that different instances may nonetheless
belong to a common class would be equally maladaptive. In spite of the
importance of our capacity to recognize objects at multiple levels of
abstraction, this capacity is currently not will understood, either
empirically or theoretically. The results of the proposed experiments will
contribute to our understanding of this important capacity, and place
important constraints on theories of human object recognition.
项目描述(申请人摘要):拟开展研究
项目成果
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