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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
CVPR
2003
IEEE
14 years 9 months ago
View Invariants for Human Action Recognition
This paper presents two approaches for the representation and recognition of human action in video, aiming for viewpoint invariance. The paper first presents new results using a 2...
Vasu Parameswaran, Rama Chellappa
CVPR
2003
IEEE
14 years 9 months ago
3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints
: This paper presents a novel representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
ECCV
2004
Springer
14 years 9 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ISCSCT
2008
IEEE
14 years 2 months ago
Large Scale Scenes Reconstruction from Multiple Views
—In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by m...
Limin Shi, Feng Zhang, Zhenhui Xu, Zhanyi Hu