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» From Images to Shape Models for Object Detection
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CVPR
2009
IEEE
16 years 1 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan
IPMI
2005
Springer
16 years 7 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
CVPR
2010
IEEE
16 years 3 months ago
Cascade Object Detection with Deformable Part Models
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...
ICPR
2008
IEEE
16 years 7 months ago
Detection of digital processing of images through a realistic model of CCD noise
In this paper, we propose a method for detecting digital processing of video such as compositing. Our method is based on a realistic model of charge coupled device (CCD) sensor no...
Jean-Baptiste Maillard, Daniel Lévesque, Fr...
ICPR
2006
IEEE
16 years 7 months ago
Object Detection in Video via Particle Filters
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Jacek Czyz