Development of an object recognition and location system using the Microsoft Kinect™ sensor*

被引：0

作者：

Figueroa, Jose ^{[1
]}

Contreras, Luis ^{[1
]}

Pacheco, Abel ^{[1
]}

Savage, Jesus ^{[1
]}

机构：

[1] Biorobotics Laboratory, Department of Electrical Engineering, Universidad Nacional Autonoma de Mexico, UNAM

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2012年 / 7416 LNCS卷

关键词：

Feature extraction; Machine vision; Object detection; Pattern recognition; Scale Invariant Feature;

D O I：

10.1007/978-3-642-32060-6_37

中图分类号：

学科分类号：

摘要：

This paper presents the development of an object recognition and location system using the Microsoft Kinect™, an off-the-shelf sensor for videogames console Microsoft Xbox 360™ which is formed by a color camera and depth sensor. This sensor is capable of capturing color images and depth information from a scene. This vision system uses a) data fusion of both color camera and depth sensor to segment objects by distance; b) scale-invariant features to characterize and recognize objects; and c) camera's internal parameters combined with depth information to locate objects relative to the camera point of view. The system will be used along with a robotic arm to grab objects. © 2012 Springer-Verlag Berlin Heidelberg.

引用

页码：440 / 449

页数：9

共 6 条

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