Lecture Notes in Computer Science 10269
Commenced Publication in 1973Founding and Former Series Editors:Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
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David HutchisonLancaster University, Lancaster, UK
Takeo KanadeCarnegie Mellon University, Pittsburgh, PA, USA
Josef KittlerUniversity of Surrey, Guildford, UK
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Friedemann MatternETH Zurich, Zurich, Switzerland
John C. MitchellStanford University, Stanford, CA, USA
Moni NaorWeizmann Institute of Science, Rehovot, Israel
C. Pandu RanganIndian Institute of Technology, Madras, India
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Demetri TerzopoulosUniversity of California, Los Angeles, CA, USA
Doug TygarUniversity of California, Berkeley, CA, USA
Gerhard WeikumMax Planck Institute for Informatics, Saarbrücken, Germany
More information about this series at http://www.springer.com/series/7412
Puneet Sharma • Filippo Maria Bianchi (Eds.)
Image Analysis20th Scandinavian Conference, SCIA 2017Tromsø, Norway, June 12–14, 2017Proceedings, Part I
123
EditorsPuneet SharmaUniversity of TromsøTromsøNorway
Filippo Maria BianchiUniversity of TromsøTromsøNorway
ISSN 0302-9743 ISSN 1611-3349 (electronic)Lecture Notes in Computer ScienceISBN 978-3-319-59125-4 ISBN 978-3-319-59126-1 (eBook)DOI 10.1007/978-3-319-59126-1
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LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics
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Preface
This book constitutes the refereed proceedings of the 20th Scandinavian Conference onImage Analysis, SCIA 2017, held in Tromsø, Norway, in June 2017.
The 87 revised papers presented were carefully reviewed and selected from 133submissions. The 87 accepted articles are organized in two volumes, i.e., volumes 1and 2. Volume 1 comprises topical sections on the history of SCIA, motion analysisand 3D vision, pattern detection and recognition, machine learning, and image pro-cessing and applications. Volume 2 is structured in topical sections on remote sensing,medical and biomedical image analysis, feature extraction and segmentation, and face,gesture, and multispectral analysis.
June 2017 Puneet SharmaFilippo Maria Bianchi
Organizers
Sponsors
Organization
General Chair
Robert Jenssen University of Tromsø - The Arctic Universityof Norway
Program Chairs
Puneet Sharma University of Tromsø - The Arctic Universityof Norway
Filippo Maria Bianchi University of Tromsø - The Arctic Universityof Norway
Program Co-chairs
Arnt Børre Salberg Norwegian Computing Center, NorwayJon Yngve Hardeberg Norwegian University of Science and Technology,
NorwayTrym Haavardsholm Norwegian Defence Research Establishment, Norway
Program Committee
Adrien Bartoli ISIT – CENTI, FranceAnders Heyden Lund University, SwedenAnne H. Schistad Solberg University of Oslo, NorwayArnt-Børre Norsk Regnesentral, NorwayAtsuto Maki Kungliga Tekniska Högskolan, SwedenCristina Soguero Ruiz Rey Juan Carlos University, SpainDaniele Nardi Sapienza University, ItalyDomenico Daniele Bloisi Sapienza University, ItalyEnrico Maiorino Sapienza University, ItalyErkki Oja Aalto University, FinlandFredrik Kahl Lund University, SwedenGustau Camps-Valls University of Valencia, SpainHeikki Kälviäinen Lappeenranta University of Technology, FinlandHelene Schulerud Sintef, NorwayIngela Nyström Uppsala University, SwedenJanne Heikkilä University of Oulu, FinlandJens Thielemann SINTEF, NorwayJoni Kämäräinen Tampere University of Technology, FinlandKarl Øyvind Mikalsen University of Tromsø, NorwayKjersti Engan University of Stavanger, Norway
Lasse Riis Østergaard Aalborg University, DenmarkLorenzo Livi University of Exeter, UKMads Nielsen University of Copenhagen, DenmarkMarco Loog Delft University of Technology, The NetherlandsMichael Felsberg Linkoping University, SwedenMichael Kampffmeyer University of Tromsø, NorwayNorbert Krüger University of Southern Denmark, DenmarkRasmus Paulsen Technical University of DenmarkSigurd Løkse University of Tromsø, NorwaySimone Scardapane Sapienza University, ItalyThomas Moeslund Aalborg University, Denmark
VIII Organization
Contents – Part I
History of SCIA
Image Processing and Its Hardware Support Analysisvs Synthesis - Historical Trends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Ewert Bengtsson
Motion Analysis and 3D Vision
Averaging Three-Dimensional Time-Varying Sequences of Rotations:Application to Preprocessing of Motion Capture Data . . . . . . . . . . . . . . . . . 17
Tomasz Hachaj, Marek R. Ogiela, Marcin Piekarczyk,and Katarzyna Koptyra
Plane Refined Structure from Motion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Branislav Micusik and Horst Wildenauer
A Time-Efficient Optimisation Framework for Parametersof Optical Flow Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Michael Stoll, Sebastian Volz, Daniel Maurer, and Andrés Bruhn
Subpixel-Precise Tracking of Rigid Objects in Real-Time . . . . . . . . . . . . . . 54Tobias Böttger, Markus Ulrich, and Carsten Steger
Wearable Gaze Trackers: Mapping Visual Attention in 3D. . . . . . . . . . . . . . 66Rasmus R. Jensen, Jonathan D. Stets, Seidi Suurmets, Jesper Clement,and Henrik Aanæs
Image Processing of Leaf Movements in Mimosa pudica . . . . . . . . . . . . . . . 77Vegard Brattland, Ivar Austvoll, Peter Ruoff, and Tormod Drengstig
Evaluation of Visual Tracking Algorithms for Embedded Devices . . . . . . . . . 88Ville Lehtola, Heikki Huttunen, Francois Christophe,and Tommi Mikkonen
Multimodal Neural Networks: RGB-D for Semantic Segmentationand Object Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
Lukas Schneider, Manuel Jasch, Björn Fröhlich, Thomas Weber,Uwe Franke, Marc Pollefeys, and Matthias Rätsch
Uncertainty Computation in Large 3D Reconstruction . . . . . . . . . . . . . . . . . 110Michal Polic and Tomas Pajdla
Robust and Practical Depth Map Fusion for Time-of-Flight Cameras . . . . . . . 122Markus Ylimäki, Juho Kannala, and Janne Heikkilä
An Error Analysis of Structured Light Scanning of Biological Tissue . . . . . . 135Sebastian Nesgaard Jensen, Jakob Wilm, and Henrik Aanæs
Structure from Motion by Artificial Neural Networks . . . . . . . . . . . . . . . . . 146Julius Schöning, Thea Behrens, Patrick Faion, Peyman Kheiri,Gunther Heidemann, and Ulf Krumnack
Pattern Detection and Recognition
Computer Aided Detection of Prostate Cancer on Biparametric MRIUsing a Quadratic Discriminant Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Carina Jensen, Anne Sofie Korsager, Lars Boesen,Lasse Riis Østergaard, and Jesper Carl
Pipette Hunter: Patch-Clamp Pipette Detection . . . . . . . . . . . . . . . . . . . . . . 172Krisztian Koos, József Molnár, and Peter Horvath
Non-reference Image Quality Assessment for Fingervein PresentationAttack Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184
Amrit Pal Singh Bhogal, Dominik Söllinger, Pauline Trung,Jutta Hämmerle-Uhl, and Andreas Uhl
Framework for Machine Vision Based Traffic Sign Inventory. . . . . . . . . . . . 197Petri Hienonen, Lasse Lensu, Markus Melander, and Heikki Kälviäinen
Copy-Move Forgery Detection Using the Segment Gradient OrientationHistogram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209
Ali Retha Hasoon Khayeat, Paul L. Rosin, and Xianfang Sun
BriefMatch: Dense Binary Feature Matching for Real-Time OpticalFlow Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
Gabriel Eilertsen, Per-Erik Forssén, and Jonas Unger
Robust Data Whitening as an Iteratively Re-weighted LeastSquares Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234
Arun Mukundan, Giorgos Tolias, and Ondřej Chum
DEBC Detection with Deep Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248Ian E. Nordeng, Ahmad Hasan, Doug Olsen, and Jeremiah Neubert
Object Proposal Generation Applying the Distance Dependent ChineseRestaurant Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260
Mikko Lauri and Simone Frintrop
X Contents – Part I
Object Tracking via Pixel-Wise and Block-Wise Sparse Representation . . . . . 273Pouria Navaei, Mohammad Eslami, and Farah Torkamani-Azar
Supervised Approaches for Function Prediction of Proteins ContactNetworks from Topological Structure Information . . . . . . . . . . . . . . . . . . . . 285
Alessio Martino, Enrico Maiorino, Alessandro Giuliani,Mauro Giampieri, and Antonello Rizzi
Top-Down Deep Appearance Attention for Action Recognition. . . . . . . . . . . 297Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer,and Jorma Laaksonen
Machine Learning
Soft Margin Bayes-Point-Machine Classification via AdaptiveDirection Sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313
Karsten Vogt and Jörn Ostermann
ConvNet Regression for Fingerprint Orientations. . . . . . . . . . . . . . . . . . . . . 325Patrick Schuch, Simon-Daniel Schulz, and Christoph Busch
Domain Transfer for Delving into Deep Networks Capacityto De-Abstract Art. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337
Corneliu Florea, Mihai Badea, Laura Florea, and Constantin Vertan
Foreign Object Detection in Multispectral X-ray Images of Food ItemsUsing Sparse Discriminant Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350
Gudmundur Einarsson, Janus N. Jensen, Rasmus R. Paulsen,Hildur Einarsdottir, Bjarne K. Ersbøll, Anders B. Dahl,and Lars Bager Christensen
Sparse Approximation by Matching PursuitUsing Shift-Invariant Dictionary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362
Karl Skretting and Kjersti Engan
Diagnosis of Broiler Livers by Classifying Image Patches . . . . . . . . . . . . . . 374Anders Jørgensen, Jens Fagertun, and Thomas B. Moeslund
Historical Document Binarization Combining Semantic Labelingand Graph Cuts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386
Kalyan Ram Ayyalasomayajula and Anders Brun
Convolutional Neural Networks for Segmentation and Object Detectionof Human Semen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397
Malte S. Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff,Torben T. Nielsen, and Mads Nielsen
Contents – Part I XI
Convolutional Neural Networks for False Positive Reductionof Automatically Detected Cilia in Low Magnification TEM Images . . . . . . . 407
Anindya Gupta, Amit Suveer, Joakim Lindblad, Anca Dragomir,Ida-Maria Sintorn, and Nataša Sladoje
Deep Kernelized Autoencoders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi,Robert Jenssen, and Lorenzo Livi
Spectral Clustering Using PCKID – A Probabilistic Cluster Kernelfor Incomplete Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431
Sigurd Løkse, Filippo M. Bianchi, Arnt-Børre Salberg,and Robert Jenssen
Automatic Emulation by Adaptive Relevance Vector Machines. . . . . . . . . . . 443Luca Martino, Jorge Vicent, and Gustau Camps-Valls
Image Processing and Applications
Deep Learning for Polar Bear Detection. . . . . . . . . . . . . . . . . . . . . . . . . . . 457Scott Sorensen, Wayne Treible, Leighanne Hsu, Xiaolong Wang,Andrew R. Mahoney, Daniel P. Zitterbart, and Chandra Kambhamettu
Crowd Counting Based on MMCNN in Still Images . . . . . . . . . . . . . . . . . . 468Tao Wang, Guohui Li, Jun Lei, Shuohao Li, and Shukui Xu
Generation and Authoring of Augmented Reality Terrains ThroughReal-Time Analysis of Map Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480
Theodore Panagiotopoulos, Gerasimos Arvanitis,Konstantinos Moustakas, and Nikos Fakotakis
Solution of Pure Scattering Radiation Transport Equation (RTE)Using Finite Difference Method (FDM) . . . . . . . . . . . . . . . . . . . . . . . . . . . 492
Hassan A. Khawaja
Optimised Anisotropic Poisson Denoising . . . . . . . . . . . . . . . . . . . . . . . . . 502Georg Radow, Michael Breuß, Laurent Hoeltgen, and Thomas Fischer
Augmented Reality Interfaces for Additive Manufacturing . . . . . . . . . . . . . . 515Eythor R. Eiriksson, David B. Pedersen, Jeppe R. Frisvad,Linda Skovmand, Valentin Heun, Pattie Maes, and Henrik Aanæs
General Cramér-von Mises, a Helpful Ally for Transparent ObjectInspection Using Deflection Maps? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526
Johannes Meyer, Thomas Längle, and Jürgen Beyerer
XII Contents – Part I
Dynamic Exploratory Search in Content-Based Image Retrieval . . . . . . . . . . 538Joel Pyykkö and Dorota Głowacka
Robust Anomaly Detection Using Reflectance Transformation Imagingfor Surface Quality Inspection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 550
Gilles Pitard, Gaëtan Le Goïc, Alamin Mansouri, Hugues Favrelière,Maurice Pillet, Sony George, and Jon Yngve Hardeberg
Block-Permutation-Based Encryption Scheme with EnhancedColor Scrambling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 562
Shoko Imaizumi, Takeshi Ogasawara, and Hitoshi Kiya
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575
Contents – Part I XIII
Contents – Part II
Feature Extraction and Segmentation
Simplification of Polygonal Chains by Enforcing Few DistinctiveEdge Directions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Melanie Pohl, Jochen Meidow, and Dimitri Bulatov
Leaflet Free Edge Detection for the Automatic Analysis of ProstheticHeart Valve Opening and Closing Motion Patterns from High SpeedVideo Recordings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Maryam Alizadeh, Melissa Cote, and Alexandra Branzan Albu
Max-Margin Learning of Deep Structured Modelsfor Semantic Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Måns Larsson, Jennifer Alvén, and Fredrik Kahl
Robust Abdominal Organ Segmentation Using RegionalConvolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Måns Larsson, Yuhang Zhang, and Fredrik Kahl
Detecting Chest Compression Depth Using a Smartphone Cameraand Motion Segmentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Øyvind Meinich-Bache, Kjersti Engan, Trygve Eftestøl, and Ivar Austvoll
Feature Space Clustering for Trabecular Bone Segmentation. . . . . . . . . . . . . 65Benjamin Klintström, Eva Klintström, Örjan Smedby,and Rodrigo Moreno
Airway-Tree Segmentation in Subjects with Acute RespiratoryDistress Syndrome . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
Kristína Lidayová, Duván Alberto Gómez Betancur, Hans Frimmel,Marcela Hernández Hoyos, Maciej Orkisz, and Örjan Smedby
Context Aware Query Image Representation for Particular Object Retrieval . . . 88Zakaria Laskar and Juho Kannala
Granulometry-Based Trabecular Bone Segmentation . . . . . . . . . . . . . . . . . . 100Manish Chowdhury, Benjamin Klintström, Eva Klintström,Örjan Smedby, and Rodrigo Moreno
Automatic Segmentation of Abdominal Fat in MRI-Scans,Using Graph-Cuts and Image Derived Energies. . . . . . . . . . . . . . . . . . . . . . 109
Anders Nymark Christensen, Christian Thode Larsen,Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen,Knut Conradsen, and Vedrana Andersen Dahl
Remote Sensing
Two-Source Surface Reconstruction Using Polarisation . . . . . . . . . . . . . . . . 123Gary A. Atkinson
Synthetic Aperture Radar (SAR) Monitoring of Avalanche Activity:An Automated Detection Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136
H. Vickers, M. Eckerstorfer, E. Malnes, and A. Doulgeris
Canonical Analysis of Sentinel-1 Radar and Sentinel-2 Optical Data . . . . . . . 147Allan A. Nielsen and Rasmus Larsen
A Noncentral and Non-Gaussian Probability Model for SAR Data . . . . . . . . 159Anca Cristea, Anthony P. Doulgeris, and Torbjørn Eltoft
Unsupervised Multi-manifold Classification of Hyperspectral RemoteSensing Images with Contractive Autoencoder . . . . . . . . . . . . . . . . . . . . . . 169
Aidin Hassanzadeh, Arto Kaarna, and Tuomo Kauranne
A Clustering Approach to Heterogeneous Change Detection . . . . . . . . . . . . . 181Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser,Robert Jenssen, Filippo Maria Bianchi, Sebastiano Serpico,and Gregoire Mercier
Large-Scale Mapping of Small Roads in Lidar ImagesUsing Deep Convolutional Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . 193
Arnt-Børre Salberg, Øivind Due Trier, and Michael Kampffmeyer
Physics-Aware Gaussian Processes for Earth Observation. . . . . . . . . . . . . . . 205Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino,Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner,and David Luengo
Medical and Biomedical Image Analysis
Automatic Segmentation of Bone Tissue from Computed TomographyUsing a Volumetric Local Binary Patterns Based Method. . . . . . . . . . . . . . . 221
Jukka Kaipala, Miguel Bordallo López, Simo Saarakkala,and Jérôme Thevenot
XVI Contents – Part II
Local Adaptive Wiener Filtering for Class Averaging in SingleParticle Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Ali Abdollahzadeh, Erman Acar, Sari Peltonen, and Ulla Ruotsalainen
Comparison of Concave Point Detection Methods for Overlapping ConvexObjects Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen,and Heikki Haario
Decoding Gene Expression in 2D and 3D . . . . . . . . . . . . . . . . . . . . . . . . . 257Maxime Bombrun, Petter Ranefall, Joakim Lindblad, Amin Allalou,Gabriele Partel, Leslie Solorzano, Xiaoyan Qian, Mats Nilsson,and Carolina Wählby
Estimation of Heartbeat Peak Locations and Heartbeat Ratefrom Facial Video . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269
Mohammad A. Haque, Kamal Nasrollahi, and Thomas B. Moeslund
Segmentation of Multiple Structures in Chest RadiographsUsing Multi-task Fully Convolutional Networks . . . . . . . . . . . . . . . . . . . . . 282
Chunliang Wang
A Novel Method for Automatic Localization of Joint Area on KneePlain Radiographs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290
Aleksei Tiulpin, Jerome Thevenot, Esa Rahtu, and Simo Saarakkala
Semi-automatic Method for Intervertebral Kinematics Measurementin the Cervical Spine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302
Anne Krogh Nøhr, Louise Pedersen Pilgaard, Bolette Dybkjær Hansen,Rasmus Nedergaard, Heidi Haavik, Rene Lindstroem,Maciej Plocharski, and Lasse Riis Østergaard
Memory Effects in Subjective Quality Assessment of X-Ray Images . . . . . . . 314Victor Landre, Marius Pedersen, and Dag Waaler
Classification of Fingerprints Captured Using OpticalCoherence Tomography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326
Ctirad Sousedik, Ralph Breithaupt, and Patrick Bours
Interpolation from Grid Lines: Linear, Transfinite and Weighted Method . . . . 338Anne-Sofie Wessel Lindberg, Thomas Martini Jørgensen,and Vedrana Andersen Dahl
Automated Pain Assessment in Neonates . . . . . . . . . . . . . . . . . . . . . . . . . . 350Ghada Zamzmi, Chih-Yun Pai, Dmitry Goldgof, Rangachar Kasturi,Yu Sun, and Terri Ashmeade
Contents – Part II XVII
Enhancement of Cilia Sub-structures by Multiple Instance Registrationand Super-Resolution Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362
Amit Suveer, Nataša Sladoje, Joakim Lindblad, Anca Dragomir,and Ida-Maria Sintorn
Faces, Gestures and Multispectral Analysis
Residual vs. Inception vs. Classical Networks for Low-ResolutionFace Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377
Christian Herrmann, Dieter Willersinn, and Jürgen Beyerer
Visual Language Identification from Facial Landmarks . . . . . . . . . . . . . . . . 389Radim Špetlík, Jan Čech, Vojtěch Franc, and Jiří Matas
HDR Imaging Pipeline for Spectral Filter Array Cameras. . . . . . . . . . . . . . . 401Jean-Baptiste Thomas, Pierre-Jean Lapray, and Pierre Gouton
Thistle Detection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413Søren I. Olsen, Jon Nielsen, and Jesper Rasmussen
An Image-Based Method for Objectively Assessing Injection MouldedPlastic Quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426
Morten Hannemose, Jannik Boll Nielsen, László Zsíros,and Henrik Aanæs
Creating Ultra Dense Point Correspondence Over the Entire Human Head . . . 438Rasmus R. Paulsen, Kasper Korsholm Marstal, Søren Laugesen,and Stine Harder
Collaborative Representation of Statistically Independent Filters’ Response:An Application to Face Recognition Under Illicit Drug Abuse Alterations . . . 448
Raghavendra Ramachandra, Kiran Raja, Sushma Venkatesh,and Christoph Busch
Multispectral Constancy Based on Spectral Adaptation Transform . . . . . . . . . 459Haris Ahmad Khan, Jean Baptiste Thomas, and Jon Yngve Hardeberg
State Estimation of the Performance of Gravity Tables Using MultispectralImage Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471
Michael A.E. Hansen, Ananda S. Kannan, Jacob Lund, Peter Thorn,Srdjan Sasic, and Jens M. Carstensen
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481
XVIII Contents – Part II
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