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» Using Photometric Invariants for 3D Object Recognition
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ISBI
2002
IEEE
16 years 16 days ago
Automated determination of protein subcellular locations from 3D fluorescence microscope images
Knowing the subcellular location of a protein is critical to a full understanding of its function, and automated, objective methods for assigning locations are needed as part of t...
Meel Velliste, Robert F. Murphy
SCIA
2007
Springer
114views Image Analysis» more  SCIA 2007»
15 years 6 months ago
Object Recognition Using Frequency Domain Blur Invariant Features
In this paper, we propose novel blur invariant features for the recognition of objects in images. The features are computed either using the phase-only spectrum or bispectrum of th...
Ville Ojansivu, Janne Heikkilä
ICRA
2009
IEEE
226views Robotics» more  ICRA 2009»
14 years 9 months ago
3D model selection from an internet database for robotic vision
Abstract-- We propose a new method for automatically accessing an internet database of 3D models that are searchable only by their user-annotated labels, for using them for vision ...
Ulrich Klank, Muhammad Zeeshan Zia, Michael Beetz
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 6 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
CAIP
2007
Springer
107views Image Analysis» more  CAIP 2007»
15 years 6 months ago
Object Recognition by Implicit Invariants
Abstract. The use of traditional moment invariants is limited to a certain set of simple geometric transforms, such as rotation, scaling and affine transform. This paper presents a...
Jan Flusser, Jaroslav Kautsky, Filip Sroubek