Gradient Response Maps for Real-Time Detection of Textureless Objects

We present a method for real-time 3D object instance detection that does not require a time-consuming training stage, and can handle untextured objects. At its core, our approach is a novel image representation for template matching designed to be robust to small image transformations. This robustne...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 34; H. 5; S. 876 - 888
Hauptverfasser:	Hinterstoisser, S., Cagniart, C., Ilic, S., Sturm, P., Navab, N., Fua, P., Lepetit, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.05.2012 IEEE Computer Society
Schlagworte:	Applied sciences Artificial intelligence Clutter Computer science; control theory; systems Computer vision Exact sciences and technology Humans Image edge detection Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional multimodality template matching Pattern recognition. Digital image processing. Computational geometry Real time systems real-time detection and object recognition Reproducibility of Results Robustness Surface Properties Three dimensional displays tracking Training Transforms Computer vision Tracking Measurement sensor Syntactic analysis Cluttered environment Real time Object recognition Surface normal Image analysis Response time Image matching Multimodality Computer architecture Object detection Robustness Localization multimodality template matching real-time detection and object recognition Pattern matching
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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