SHOT: Unique signatures of histograms for surface and texture description

•This paper presents a local 3D descriptor for surface matching dubbed SHOT.•Our proposal includes a repeatable local reference frame as well as a 3D descriptor.•It enables seamless description of shape and color data from RGB-D sensors.•It is validated in object recognition, 3D reconstruction and s...

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Veröffentlicht in:	Computer vision and image understanding Jg. 125; S. 251 - 264
Hauptverfasser:	Salti, Samuele, Tombari, Federico, Di Stefano, Luigi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.08.2014 Elsevier
Schlagworte:	3D descriptors 3D reconstruction Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Histograms Object recognition Pattern recognition. Digital image processing. Computational geometry Proposals Robustness Sensors Shot Signatures Surface matching Texture Three dimensional 3D descriptors 3D reconstruction Object recognition Surface matching Availability Computer vision Histogram Information integration Stimulus Image processing Taxonomy Pattern recognition Texture Color image Depth of field Image reconstruction Computational geometry Stimulus complexity Tridimensional image Robustness Surface conditions Frame of reference
ISSN:	1077-3142, 1090-235X
Online-Zugang:	Volltext
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