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ECCV
2000
Springer
14 years 10 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
CRV
2005
IEEE
124views Robotics» more  CRV 2005»
13 years 10 months ago
View Matching with Blob Features
This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the fe...
Per-Erik Forssén, Anders Moe
NIPS
2007
13 years 10 months ago
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
AMDO
2006
Springer
14 years 7 days ago
Boundary Fragment Matching and Articulated Pose Under Occlusion
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular video so long as the camera's view remains unoccluded by other objects. This ...
Nicholas R. Howe
ECCV
2006
Springer
14 years 10 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...