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MTA
2000
165views more  MTA 2000»
15 years 14 days ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
CVPR
2007
IEEE
16 years 2 months ago
The effective resolution of correlation filters applied to natural scenes
In this paper, we measure the responses of image patches, used as filters, on different image ensembles and examine how the responses are affected by reducing the resolution of th...
Michel Vidal-Naquet, Manabu Tanifuji
92
Voted
CVPR
2008
IEEE
16 years 2 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...
182
Voted
CVPR
2008
IEEE
16 years 2 months ago
A fast local descriptor for dense matching
We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm ...
Engin Tola, Vincent Lepetit, Pascal Fua
ISBI
2007
IEEE
15 years 7 months ago
Automated Segmentation of the Right Heart Using an Optimized Shells and Spheres Algorithm
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...