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» Object Recognition Using Segmentation for Feature Detection
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MVA
2000
154views Computer Vision» more  MVA 2000»
15 years 6 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
IWPC
2006
IEEE
16 years 20 days ago
A Metric-Based Heuristic Framework to Detect Object-Oriented Design Flaws
One of the important activities in re-engineering process is detecting design flaws. Such design flaws prevent an efficient maintenance, and further development of a system. Th...
Mazeiar Salehie, Shimin Li, Ladan Tahvildari
CVPR
2005
IEEE
16 years 8 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ASE
2005
102views more  ASE 2005»
15 years 6 months ago
Modular Verification of Open Features Using Three-Valued Model Checking
Feature-oriented programming organizes programs around features rather than objects, thus better supporting extensible, product-line architectures. Programming languages increasin...
Harry C. Li, Shriram Krishnamurthi, Kathi Fisler
214
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...