LBP-Based Edge-Texture Features for Object Recognition
暂无分享,去创建一个
[1] Marko Heikkilä,et al. Description of interest regions with local binary patterns , 2009, Pattern Recognit..
[2] Xudong Jiang,et al. Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients , 2014, IEEE Transactions on Image Processing.
[3] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[5] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Wanqing Li,et al. Object detection using Non-Redundant Local Binary Patterns , 2010, 2010 IEEE International Conference on Image Processing.
[7] Wenyu Liu,et al. Feature context for image classification and object detection , 2011, CVPR 2011.
[8] Jana Reinhard,et al. Textures A Photographic Album For Artists And Designers , 2016 .
[9] Yuichi Matsumoto,et al. Shrink boost for selecting multi-LBP histogram features in object detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[13] Xudong Jiang,et al. Extended Histogram of Gradients with Asymmetric Principal Component and Discriminant Analyses for Human Detection , 2011, 2011 Canadian Conference on Computer and Robot Vision.
[14] Wen Gao,et al. Local Gabor Binary Patterns Based on Kullback–Leibler Divergence for Partially Occluded Face Recognition , 2007, IEEE Signal Processing Letters.
[15] Matti Pietikäinen,et al. Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Jasna Maver,et al. Self-Similarity and Points of Interest , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Larry S. Davis,et al. Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Xiaoyang Tan,et al. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions , 2007, IEEE Transactions on Image Processing.
[21] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Shu Liao,et al. Dominant Local Binary Patterns for Texture Classification , 2009, IEEE Transactions on Image Processing.
[23] Dan Roth,et al. Learning to detect objects in images via a sparse, part-based representation , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Marcos X. Álvarez-Cid,et al. Texture Description Through Histograms of Equivalent Patterns , 2012, Journal of Mathematical Imaging and Vision.
[26] Yair Weiss,et al. Learning object detection from a small number of examples: the importance of good features , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[27] Sebastian Nowozin,et al. On feature combination for multiclass object classification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[28] Eli Shechtman,et al. Matching Local Self-Similarities across Images and Videos , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[29] A. Hadid,et al. The Local Binary Pattern Approach and its Applications to Face Analysis , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.
[30] Eli Shechtman,et al. In defense of Nearest-Neighbor based image classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Subhransu Maji,et al. Efficient Classification for Additive Kernel SVMs , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] L. Macaire,et al. Haralick feature extraction from LBP images for color texture classification , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.
[33] Nicu Sebe,et al. Sparse Color Interest Points for Image Retrieval and Object Categorization , 2012, IEEE Transactions on Image Processing.
[34] Erkki Oja,et al. Texture discrimination with multidimensional distributions of signed gray-level differences , 2001, Pattern Recognit..
[35] Tomaso A. Poggio,et al. A Trainable System for Object Detection , 2000, International Journal of Computer Vision.
[36] Zhenhua Guo,et al. A Completed Modeling of Local Binary Pattern Operator for Texture Classification , 2010, IEEE Transactions on Image Processing.
[37] Shengcai Liao,et al. Illumination Invariant Face Recognition Using Near-Infrared Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Xudong Jiang,et al. Extended Histogram of Gradients feature for human detection , 2010, 2010 IEEE International Conference on Image Processing.
[39] Bill Triggs,et al. Visual Recognition Using Local Quantized Patterns , 2012, ECCV.
[40] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[43] Peyman Milanfar,et al. Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[45] Xudong Jiang,et al. Interest point detection using rank order LoG filter , 2013, Pattern Recognit..
[46] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[47] Thomas G. Dietterich,et al. Principal Curvature-Based Region Detector for Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[48] Barbara Caputo,et al. Class-Specific Material Categorisation , 2005, ICCV.
[49] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[50] Xudong Jiang,et al. Visual object detection by parts-based modeling using extended histogram of gradients , 2013, 2013 IEEE International Conference on Image Processing.
[51] Michael H. F. Wilkinson,et al. Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Xudong Jiang,et al. Noise-Resistant Local Binary Pattern With an Embedded Error-Correction Mechanism , 2013, IEEE Transactions on Image Processing.
[53] Matti Pietikäinen,et al. A Bayesian Local Binary Pattern texture descriptor , 2008, 2008 19th International Conference on Pattern Recognition.
[54] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[55] Cong Geng,et al. Face recognition based on the multi-scale local image structures , 2011, Pattern Recognit..
[56] David G. Lowe,et al. Multiclass Object Recognition with Sparse, Localized Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[57] Juergen Gall,et al. Class-specific Hough forests for object detection , 2009, CVPR.
[58] Cordelia Schmid,et al. Vector Quantizing Feature Space with a Regular Lattice , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[59] Xudong Jiang,et al. Human detection using Discriminative and Robust Local Binary Pattern , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[60] Jun Zhang,et al. Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds , 2013, IEEE Transactions on Image Processing.
[61] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[62] PietikainenMatti,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007 .
[63] Matti Pietikäinen,et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, TPAMI-2008-09-0620 1 WLD: A Robust Local Image Descriptor , 2022 .