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» On representing variation
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ICIP
2008
IEEE
16 years 1 months ago
Pedestrian detection via logistic multiple instance boosting
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as v...
Junbiao Pang, Qingming Huang, Shuqiang Jiang, Wen ...
67
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ICCV
2007
IEEE
16 years 1 months ago
Phase Based Modelling of Dynamic Textures
This paper presents a model of spatiotemporal variations in a dynamic texture (DT) sequence. Most recent work on DT modelling represents images in a DT sequence as the responses o...
Bernard Ghanem, Narendra Ahuja
CVPR
2005
IEEE
16 years 1 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
CVPR
2005
IEEE
16 years 1 months ago
Indexing with Unknown Illumination and Pose
The task of identifying 3D objects in 2D images is difficult due to variation in objects' appearance with changes in pose and lighting. The task is further complicated by the...
Ira Kemelmacher, Ronen Basri
MMM
2005
Springer
146views Multimedia» more  MMM 2005»
15 years 5 months ago
Retrieval of News Video Using Video Sequence Matching
In this paper, we propose a new algorithm to find video clips with different temporal durations and some spatial variations. We adopt a longest common subsequence (LCS) matching t...
Young-tae Kim, Tat-Seng Chua