Development of Function-Based Modeling for Generic Object Recognition

用于通用对象识别的基于函数的建模的开发

• 批准号: 9120895
• 负责人: Louise Stark
• 金额: $ 5万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-01 至 1993-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9120895&HistoricalAwards=false
• 关键词: Development; Function; Based; Modeling; Generic

The purpose of this research project is to develop new theories and techniques which can lead to computer vision systems having the capability for "generic object recognition" (that is, identification of objects at the category level). This capability is a fundamental part of the long-term research goal of visual perception for an autonomous real-world systems. The approach to generic recognition that is being pursed in this proposal is termed form and function. The basis of the approach is that concepts of object categories are naturally formed in terms of object function, and that reasoning about object "form" (3D shape) can be used to determine the possible "function" of the object. A recognition system has been implemented which successfully demonstrates this approach for polyhedral shape descriptions and the object category chair. This initial success demonstrates that the basic approach is valid and worth continued exploration. This project will result in extensions of the theory in the areas of (1) incorporating multiple distinct super- ordinate object categories, (2) function-based modeling of object categories which include articulated objects, and (3) analysis of shape descriptions acquired from real data.

这个研究项目的目的是开发新的理论和技术，这些理论和技术可以使计算机视觉系统具有“通用对象识别”的能力（即在类别级别识别对象）。这种能力是自主现实世界系统视觉感知长期研究目标的基本组成部分。本建议所采用的通用识别方法被称为形式和功能。该方法的基础是，对象类别的概念是根据对象功能自然形成的，通过对对象“形式”（3D形状）的推理可以确定对象可能的“功能”。该方法在多面体形状描述和物体类别椅的识别系统中得到了成功的验证。这一初步成功表明，基本方法是有效的，值得继续探索。该项目将导致理论在以下领域的扩展：(1)结合多个不同的超纵坐标对象类别，(2)基于功能的对象类别建模，包括铰接对象，以及(3)分析从实际数据中获得的形状描述。