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» Object Recognition Using Segmentation for Feature Detection
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CVPR
2008
IEEE
16 years 8 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
ICASSP
2008
IEEE
16 years 22 days ago
Caption-aided speech detection in videos
This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homo...
Cong Li, Zhijian Ou, Wei Hu, Tao Wang, Yimin Zhang
ICCV
2001
IEEE
16 years 8 months ago
Plan-View Trajectory Estimation with Dense Stereo Background Models
In a known environment, objects may be tracked in multiple views using a set of background models. Stereo-based models can be illumination-invariant, but often have undefined valu...
Trevor Darrell, David Demirdjian, Neal Checka, Ped...
BMVC
2001
15 years 8 months ago
Illumination technique for optical dynamic range compression and offset reduction
This paper presents a novel illumination technique for image processing in environmentswhich are characterized by large intensity fluctuations and hence a high optical dynamic ra...
C. Koch, S.-B. Park, Tim J. Ellis, A. Georgiadis
ICIP
2009
IEEE
16 years 7 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...