Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification
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Lei Zhang | Hui Zeng | Qilong Wang | Peihua Li | Lei Zhang | Qilong Wang | P. Li | Huiyu Zeng
[1] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[2] Qilong Wang,et al. Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications , 2012, ECCV.
[3] Edward H. Adelson,et al. Recognizing Materials Using Perceptually Inspired Features , 2013, International Journal of Computer Vision.
[4] Dieter Fox,et al. Multipath Sparse Coding Using Hierarchical Matching Pursuit , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Carl-Fredrik Westin,et al. Representing Local Structure Using Tensors II , 2011, SCIA.
[6] Rita Cucchiara,et al. Modeling local descriptors with multivariate gaussians for object and scene recognition , 2013, ACM Multimedia.
[7] H. Knutsson. Representing Local Structure Using Tensors , 1989 .
[8] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] 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).
[10] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[11] Maximilian Bayer,et al. Numerical Analysis Mathematics Of Scientific Computing , 2016 .
[12] Bingpeng Ma,et al. Gaussian Descriptor Based on Local Features for Person Re-identification , 2014, ACCV Workshops.
[13] Raj Gupta,et al. SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor , 2008, ECCV.
[14] Soura Dasgupta,et al. Some properties of the matrix exponential , 2001 .
[15] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[18] Shun-ichi Amari,et al. Methods of information geometry , 2000 .
[19] David H. Laidlaw,et al. Visualization and image processing of tensor fields , 2006 .
[20] Andrew Zisserman,et al. The devil is in the details: an evaluation of recent feature encoding methods , 2011, BMVC.
[21] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[22] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[23] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[24] B. Hall. Lie Groups, Lie Algebras, and Representations: An Elementary Introduction , 2004 .
[25] William T. Freeman,et al. Orientation Histograms for Hand Gesture Recognition , 1995 .
[26] James M. Rehg,et al. CENTRIST: A Visual Descriptor for Scene Categorization , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Cordelia Schmid,et al. Aggregating Local Image Descriptors into Compact Codes , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Cor J. Veenman,et al. Visual Word Ambiguity , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] N. Higham. Computing the polar decomposition with applications , 1986 .
[31] Nicholas J. Higham,et al. A Schur-Parlett Algorithm for Computing Matrix Functions , 2003, SIAM J. Matrix Anal. Appl..
[32] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[33] 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).
[34] A. Baker. Matrix Groups: An Introduction to Lie Group Theory , 2003 .
[35] Liyu Gong,et al. Shape of Gaussians as feature descriptors , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[36] William K. Pratt,et al. Digital Image Processing, 4th Edition , 2007, J. Electronic Imaging.
[37] Andrew Zisserman,et al. Three things everyone should know to improve object retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Edward H. Adelson,et al. Material perception: What can you see in a brief glance? , 2010 .
[39] J. Gallier. Logarithms and Square Roots of Real Matrices , 2008, 0805.0245.
[40] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[41] Ming Yang,et al. Mining discriminative co-occurrence patterns for visual recognition , 2011, CVPR 2011.
[42] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[43] Zhuowen Tu,et al. Harvesting Mid-level Visual Concepts from Large-Scale Internet Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[44] C. R. Rao,et al. Information and the Accuracy Attainable in the Estimation of Statistical Parameters , 1992 .
[45] Xavier Pennec,et al. A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.
[46] D. Le Bihan,et al. Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.
[47] Tieniu Tan,et al. Feature Coding in Image Classification: A Comprehensive Study , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Miroslav Lovric,et al. Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space , 2000 .
[49] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Gaurav Sharma,et al. Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis , 2012, ECCV.
[51] Yan Ke,et al. PCA-SIFT: a more distinctive representation for local image descriptors , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[52] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[53] Lei Zhang,et al. A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models , 2013, 2013 IEEE International Conference on Computer Vision.
[54] Limin Wang,et al. Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics , 2014, ECCV.
[55] E. Jaynes. Information Theory and Statistical Mechanics , 1957 .
[56] Andrew Zisserman,et al. Efficient additive kernels via explicit feature maps , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[57] Josep M. Oller,et al. A distance between multivariate normal distributions based in an embedding into the Siegel group , 1990 .
[58] Iasonas Kokkinos,et al. Describing Textures in the Wild , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[60] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[61] Takumi Kobayashi,et al. Dirichlet-Based Histogram Feature Transform for Image Classification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[62] Xiangyang Xue,et al. Learning Hybrid Part Filters for Scene Recognition , 2012, ECCV.
[63] Yasuo Kuniyoshi,et al. Global Gaussian approach for scene categorization using information geometry , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[64] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[65] L. Skovgaard. A Riemannian geometry of the multivariate normal model , 1984 .
[66] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[67] 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 .
[68] Hai Tao,et al. A novel feature descriptor invariant to complex brightness changes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.