Automatic image-based identification of Saimaa ringed seals

[1]  Matti Pietikäinen,et al.  Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features , 2009, SCIA.

[2]  Joachim Weickert,et al.  Efficient image segmentation using partial differential equations and morphology , 2001, Pattern Recognit..

[3]  Chaitanya K. Baru,et al.  Data acquisition and management software for camera trap data: A case study from the TEAM Network , 2011, Ecol. Informatics.

[4]  W. E. Petersen,et al.  The Identification of the Bovine by Means of Nose-Prints , 1922 .

[5]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[6]  Jun'ichi Tsujii,et al.  Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint , 2003, CoNLL.

[7]  N. Senthilkumaran,et al.  Image Segmentation - A Survey of Soft Computing Approaches , 2009, 2009 International Conference on Advances in Recent Technologies in Communication and Computing.

[8]  Gérard Dreyfus,et al.  Single-layer learning revisited: a stepwise procedure for building and training a neural network , 1989, NATO Neurocomputing.

[9]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[10]  Jonathon Shlens,et al.  A Tutorial on Principal Component Analysis , 2014, ArXiv.

[11]  Jitendra Malik,et al.  From contours to regions: An empirical evaluation , 2009, CVPR.

[12]  M. Becker,et al.  Applying computer‐aided photo‐identification to messy datasets: a case study of Thornicroft's giraffe (Giraffa camelopardalis thornicrofti) , 2015 .

[13]  Ville Ojansivu,et al.  Blur Insensitive Texture Classification Using Local Phase Quantization , 2008, ICISP.

[14]  E. Shepard.  Identification of animal movement patterns using tri-axial accelerometry , 2008 .

[15]  Agma J. M. Traina,et al.  An Efficient Algorithm for Fractal Analysis of Textures , 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.

[16]  Waseem Khan,et al.  Image Segmentation Techniques: A Survey , 2014 .

[17]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[18]  Aboul Ella Hassanien,et al.  Cattle Identification Using Muzzle Print Images Based on Texture Features Approach , 2014, IBICA.

[19]  Francis Butler,et al.  A Preliminary Investigation on Face Recognition as a Biometric Identifier of Sheep , 2007 .

[20]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Reinhard Klette,et al.  Concise Computer Vision: An Introduction into Theory and Algorithms , 2014 .

[22]  Francis Butler,et al.  The end of the identity crisis? Advances in biometric markers for animal identification. , 2009 .

[23]  I. Jolliffe.  Principal Component Analysis , 2002 .

[24]  Tanya Y. Berger-Wolf,et al.  HotSpotter — Patterned species instance recognition , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

[25]  Carlos J. R. Anderson.  Individual Identification Of Polar Bears By Whisker Spot Patterns , 2007 .

[26]  E. R. Davies,et al.  Machine vision - theory, algorithms, practicalities , 2004 .

[27]  Hongwei Zhu,et al.  Fuzzy Sets Theory Based Region Merging for Robust Image Segmentation , 2005, FSKD.

[28]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[29]  Chinki Chandhok.  A Novel Approach to Image Segmentation using Artificial Neural Networks and K-Means Clustering , 2012 .

[30]  Stephen Gould,et al.  Region-based Segmentation and Object Detection , 2009, NIPS.

[31]  David G. Stork,et al.  Pattern Classification , 1973 .

[32]  Jitendra Malik,et al.  Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[33]  Pablo Andrés Arbeláez,et al.  Boundary Extraction in Natural Images Using Ultrametric Contour Maps , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[34]  Farzin Deravi,et al.  ZOOMETRICS - Biometric Identification of Wildlife Using Natural Body Marks , 2011 .

[35]  Mahesh Pal,et al.  Multiclass Approaches for Support Vector Machine Based Land Cover Classification , 2008, ArXiv.

[36]  Jiangping Wang,et al.  Automated identification of animal species in camera trap images , 2013, EURASIP J. Image Video Process..

[37]  Pau-Choo Chung,et al.  A Fast Algorithm for Multilevel Thresholding , 2001, J. Inf. Sci. Eng..

[38]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[39]  Matti Pietikäinen,et al.  Face Recognition with Local Binary Patterns , 2004, ECCV.

[40]  Chih-Jen Lin,et al.  A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.

[41]  Salem Saleh Al-amri,et al.  Image Segmentation by Using Threshold Techniques , 2010, ArXiv.

[42]  Simon J. Goodman,et al.  Global threats to pinnipeds , 2012 .

[44]  T. Morrison,et al.  Computer-Assisted Photo Identification Outperforms Visible Implant Elastomers in an Endangered Salamander, Eurycea tonkawae , 2013, PloS one.

[45]  Tilo Burghardt.  A General Introduction to Visual Animal Biometrics , 2012 .

[46]  W. John Kress,et al.  Leafsnap: A Computer Vision System for Automatic Plant Species Identification , 2012, ECCV.