Definition
3D Object recognition is a computer vision’s research topic which aims at recognizing objects from 2.5D data range images and estimating their positions and orientations.
The challenge of recognizing objects and estimating their pose (position and orientation) has been addressed in several ways. The most well-known approaches that have been presented so far try to solve this problem by acquiring 2D training image sequences that describe the objects’ visual appearance from different viewpoints and extracting features from them. Afterwards, for the new images containing those objects, new features are extracted and compared to the existing objects’ features in order to determine the best matching object. However, these approaches are lacking accuracy in pose estimation and are sensitive to illumination changes, shadows and occlusions (when only a part of the object is visible). Many common applications, such as...
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© 2008 Springer-Verlag
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Kordelas, G., Mademlis, A., Daras, P., Strintzis, M.G. (2008). Object Recognition and Pose Estimation from 2.5D Scenes. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_57
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DOI: https://doi.org/10.1007/978-0-387-78414-4_57
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-74724-8
Online ISBN: 978-0-387-78414-4
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