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ECCV
2008
Springer
14 years 10 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
TMI
2002
90views more  TMI 2002»
13 years 8 months ago
Volume Rendering of Segmented Image Objects
This paper describes a new method of combining ray-casting with segmentation. Volume rendering is performed at interactive rates on standard laptop computers, and visualizations in...
Elizabeth Bullitt, Stephen R. Aylward
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
14 years 2 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
CVPR
2011
IEEE
13 years 5 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
CVPR
2007
IEEE
14 years 10 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury