期刊名称：International Journal of Computer Science, Engineering and Applications (IJCSEA)
印刷版ISSN：2231-0088
电子版ISSN：2230-9616
出版年度：2014
卷号：4
期号：3
DOI：10.5121/ijcsea.2014.4302
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In real-world applications, service robots need to locate and identify objects in a scene. A range sensorprovides a robust estimate of depth information, which is useful to accurately locate objects in a scene. Onthe other hand, color information is an important property for object recognition task. The objective of thispaper is to detect and localize multiple objects within an image using both range and color features. Theproposed method uses 3D shape features to generate promising hypotheses within range images andverifies these hypotheses by using features obtained from both range and color images.
关键词：Object Detection; Range Image; Generative Learning; Discriminative Learning
