Abstract
The acquisition and recognition of 3-D models of objects are among of the most active areas of the computer vision community. With the wide availability of a low-cost 3-D camera, a new range of applications can be considered—for example, personal robotics or augmented reality. In this chapter, we make a step in this direction by showing how 3-D models of everyday objects can be acquired much more easily than before using a Kinect. We also consider the further detection of these modeled objects in new scenes, enabling new, object-based interactions with your personal computer.
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© 2012 Jeff Kramer, Nicolas Burrus, Florian Echtler, Daniel Herrera C., and Matt Parker
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Kramer, J., Burrus, N., Echtler, F., Daniel, H.C., Parker, M. (2012). Object Modeling and Detection. In: Hacking the Kinect. Apress. https://doi.org/10.1007/978-1-4302-3868-3_9
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DOI: https://doi.org/10.1007/978-1-4302-3868-3_9
Publisher Name: Apress
Print ISBN: 978-1-4302-3867-6
Online ISBN: 978-1-4302-3868-3
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