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Displaying 1-8 out of 8 total
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Gaofeng Meng,Ying Wang,Jiangyong Duan,Shiming Xiang,Chunhong Pan
Issue Date:December 2013
pp. 617-624
Images captured in foggy weather conditions often suffer from bad visibility. In this paper, we propose an efficient regularization method to remove hazes from a single input image. Our method benefits much from an exploration on the inherent boundary cons...
 
Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Gaofeng Meng, Shiming Xiang, Nanning Zheng, Chunhong Pan
Issue Date:July 2013
pp. 1730-1743
A scanned image of an opened book page often suffers from various scanning artifacts known as scanning shading and dark borders noises. These artifacts will degrade the qualities of the scanned images and cause many problems to the subsequent process of do...
 
Metric Rectification of Curved Document Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Gaofeng Meng,Chunhong Pan,Shiming Xiang,Jiangyong Duan
Issue Date:April 2012
pp. 707-722
In this paper, we propose a metric rectification method to restore an image from a single camera-captured document image. The core idea is to construct an isometric image mesh by exploiting the geometry of page surface and camera. Our method uses a general...
 
Semi-Supervised Classification via Local Spline Regression
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shiming Xiang, Feiping Nie, Changshui Zhang
Issue Date:November 2010
pp. 2039-2053
This paper presents local spline regression for semi-supervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the data points directly to be class labels. The spline is composed of polynomials and G...
 
Nonlinear Dimensionality Reduction with Local Spline Embedding
Found in: IEEE Transactions on Knowledge and Data Engineering
By Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang
Issue Date:September 2009
pp. 1285-1298
This paper presents a new algorithm for Nonlinear Dimensionality Reduction (NLDR). Our algorithm is developed under the conceptual framework of compatible mapping. Each such mapping is a compound of a tangent space projection and a group of splines. Tangen...
 
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang
Issue Date:June 2007
pp. 1-8
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most popular methods and has been successfully applied in many classification proble...
 
Real-time Object Classification in Video Surveillance Based on Appearance Learning
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang
Issue Date:June 2007
pp. 1-8
Classifying moving objects to semantically meaningful categories is important for automatic visual surveillance. However, this is a challenging problem due to the factors related to the limited object size, large intra-class variations of objects in a same...
 
Guided tone mapping
Found in: ACM SIGGRAPH 2012 Posters (SIGGRAPH '12)
By Chunhong Pan, Gaofeng Meng, Huxiang Gu, Shiming Xiang, Ying Wang
Issue Date:August 2012
pp. 1-1
In this paper, we propose a simple but effective tone mapping operator, which can achieve impressive results with low complexity in both the formulation and computation. The key point of our operator is to calculate a scalar matrix by which the input HDR i...
     
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