A framework for the generation of high-precision and quantifiable methods in computer vision.

用于生成计算机视觉中高精度和可量化方法的框架。

• 批准号: ARC : DP0211110
• 负责人: Prof Michael Brooks
• 金额: $ 20.77万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/a-framework-generation-computer-vision/65169
• 关键词: framework; generation; precision; quantifiable; methods

A framework for the generation of high-precision and quantifiable methods in computer vision. Computer vision is concerned with many challenging problems assuming a variety of mathematical forms. An example might be computing new views of a 3D scene given some existing views. This project aims to develop a procedural framework that enables a wide class of problems to be solved with both high precision and a quantifiable level of accuracy. Many practical vision-based applications will stand to gain from this work.

计算机视觉中高精度和可量化方法生成的框架。计算机视觉涉及许多具有挑战性的问题，这些问题假设了各种各样的数学形式。例如，在给定一些现有视图的情况下计算3D场景的新视图。该项目旨在开发一个程序框架，使广泛的问题能够以高精度和可量化的精度得到解决。许多基于视觉的实际应用将从这项工作中获益。