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Titel:

Hashmod: A Hashing Method for Scalable 3D Object Detection

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kehl, W.; Tombari, F.; Navab, N.; Ilic, S.; Lepetit, V.
Abstract:
We present a scalable method for detecting objects and estimating their 3D poses in RGB-D data. To this end, we rely on an efficient representation of object views and employ hashing techniques to match these views against the input frame in a scalable way. While a similar approach already exists for 2D detection, we show how to extend it to estimate the 3D pose of the detected objects. In particular, we explore different hashing strategies and identify the one which is more suitable to ou...     »
Stichworte:
CAMP,CAMPComputerVision,ComputerVision,Rigid3DObjectDetection,BMVC
Jahr:
2015
Hinweise:
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