"A Hamilton-Jacobi Formulation of a Robust Object Recognition System"

“鲁棒物体识别系统的汉密尔顿-雅可比公式”

• 批准号: 9305630
• 负责人: Benjamin Kimia
• 金额: $ 25.89万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-15 至 1996-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9305630&HistoricalAwards=false
• 关键词: Hamilton; Jacobi; Formulation; Robust; Object

9305630 Kimia This is the first year of a three-year continuing award. The research addresses the problem of shape description to support the recognition of objects from their two-dimensional profiles. Classically, object recognition is plagued with problems due to variations of the projected objects from the ideal model due to partial occlusion, movement of object parts, degradation due to noise, changes in viewpoint and viewing direction, shadows, and other effects. This project addresses these problems with a general purpose representation for shape which embeds these variations in the form of deformations and is derived from first principles. An object recognition system will be implemented based on this framework. The theoretical effort is focused on extending the framework to the analysis and representation of surfaces in three-dimensions. The final result should support object recognition for the complex problems that arise in industrial applications in addition to those that arise in more general machine vision.

9305630 Kimia这是一个为期三年的连续奖项的第一年。 该研究解决了形状描述的问题，以支持识别的对象，从他们的二维轮廓。 传统上，由于部分遮挡、对象部分的移动、噪声引起的退化、视点和观看方向的改变、阴影和其他影响，投影对象与理想模型的变化，对象识别受到问题的困扰。 这个项目解决了这些问题，形状的通用表示，其中嵌入这些变化的变形形式，并来自第一原理。 基于此框架实现了一个目标识别系统。理论上的努力集中在扩展的框架，在三维表面的分析和表示。 最终的结果应该支持对象识别，除了那些出现在更一般的机器视觉中的复杂问题，在工业应用中出现的。