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» Learning the Relative Importance of Features in Image Data
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ICCV
2007
IEEE
16 years 1 months ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
ICCV
2009
IEEE
15 years 5 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
VMV
2001
145views Visualization» more  VMV 2001»
15 years 1 months ago
Registering Real-Scene to Virtual Imagery Using Robust Image Features
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
Yi Lu Murphey, Jianxin Zhang, Michael DelRose
ICIAR
2010
Springer
15 years 3 months ago
A Geometric Data Structure Applicable to Image Mining and Retrieval
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
T. Iwaszko, Mahmoud Melkemi, Lhassane Idoumghar
ECCV
2010
Springer
15 years 4 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...