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CORR
2011
Springer
211views Education» more  CORR 2011»
7 years 8 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
ICCV
2009
IEEE
8 years 2 months ago
Simultaneous alignment and clustering for an image ensemble
Joint alignment for an image ensemble can rectify images in the spatial domain such that the aligned images are as similar to each other as possible. This important technology has...
Xiaoming Liu 0002, Yan Tong, Frederick W. Wheeler
PAMI
2006
99views more  PAMI 2006»
8 years 4 months ago
Symbolic Signatures for Deformable Shapes
Recognizing classes of objects from their shape is an unsolved problem in machine vision that entails the ability of a computer system to represent and generalize complex geometric...
Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
CVIU
2008
188views more  CVIU 2008»
8 years 4 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
NIPS
2004
8 years 5 months ago
Conditional Random Fields for Object Recognition
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
Ariadna Quattoni, Michael Collins, Trevor Darrell
DAGM
2008
Springer
8 years 6 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
ECCV
2010
Springer
8 years 6 months ago
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
In order for recognition systems to scale to a larger number of object categories building visual class taxonomies is important to achieve running times logarithmic in the number o...
CLOR
2006
8 years 8 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
CVPR
2004
IEEE
8 years 8 months ago
Parts-Based 3D Object Classification
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...
Daniel F. Huber, Anuj Kapuria, Raghavendra Donamuk...
ECCV
2010
Springer
8 years 8 months ago
The Semi-Explicit Shape Model for Multi-object Detection and Classification
We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...
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