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» A comparative study of two object recognition methods
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SPIESR
2004
143views Database» more  SPIESR 2004»
14 years 11 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
BIRD
2008
Springer
177views Bioinformatics» more  BIRD 2008»
14 years 11 months ago
GENFOCS - A Comparative Tool on Gene Finding with Sensitivity and Specificity
  The  latest  developments  in  DNA  sequencing  tech­  niques paved the way for tremendous increase in bio­  logical databases. Once the whole DNA sequen...
M. A. Lijo Anto, G. Gopakumar, Achuthsankar S. Nai...
CVPR
2004
IEEE
15 years 11 months ago
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects from a large model ...
Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rake...
CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CVPR
2005
IEEE
14 years 11 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...