摘要
立体匹配是计算机视觉领域最为关键的重要分支,根据匹配基元的不同,立体视觉匹配算法可分为区域匹配、特征匹配和相位匹配三大类。该文对三类匹配算法进行了详细的评述,包括它们的理论依据、基本特征和改进策略。
Stereo matching is the most important branch in computer vision. Due to various matching primitives, the stereo matching approaches are divided into three categories, namely,area-based matching method, feature_based matching method and phase-based matching method, three categories are analyzed and compared on some issues, including the innate properties, theoretical argument as well as innovative approaches related。
出处
《计算机测量与控制》
CSCD
2004年第12期1121-1124,共4页
Computer Measurement &Control
基金
国家自然科学基金项目(50274003)
国家科技攻关项目(2002BA906A28)
甘肃省省长基金项目(GS015-A52-012)
甘肃省自然科学基金资助项目(ZS021-A25-017-G)。