Bowyer, K.W.
Standard Author Listing
with: Achu, P.V.: Analyzing the Impact of Gender Misclassification on Face R...
with: Aggarwal, G.: Pose-Robust Recognition of Low-Resolution Face Images
with: Aggarwal, G.: Predicting good, bad and ugly match Pairs
with: Aggarwal, G.: Predicting performance of face recognition systems: An i...
with: Aggarwal, G.: sparse representation approach to face matching across p...
with: Ahuja, N.: Advances in image processing and understanding: A festschri...
with: Ahuja, N.: Advances in Image Understanding: A Festschrift for Azriel R...
with: Ahuja, N.: Why Aspect Graphs Are Not (Yet) Practical for Computer Vision
with: Albiero, V.: Analysis of Gender Inequality In Face Recognition Accuracy
with: Albiero, V.: CAST: Conditional Attribute Subsampling Toolkit for Fine-...
with: Albiero, V.: Does Face Recognition Accuracy Get Better With Age? Deep ...
with: Albiero, V.: Face Recognition Accuracy Across Demographics: Shining a ...
with: Albiero, V.: Gender Gap in Face Recognition Accuracy Is a Hairy Proble...
with: Astley, S.: Special Issue: State of the Art in Digital Mammographic Im...
with: Baker, S.E.: Contact lenses: Handle with care for iris recognition
with: Baker, S.E.: Degradation of iris recognition performance due to non-co...
with: Baker, S.E.: Empirical Evidence for Correct Iris Match Score Degradati...
with: Banerjee, S.: Analyzing the Impact of Shape & Context on the Face ...
with: Banerjee, S.: Fast Face Image Synthesis With Minimal Training
with: Banerjee, S.: On Hallucinating Context and Background Pixels from a Fa...
with: Banfield, R.E.: Comparison of Decision Tree Ensemble Creation Techniqu...
with: Banfield, R.E.: Detecting and ordering salient regions for efficient b...
with: Banfield, R.E.: Semi-supervised learning on large complex simulations
with: Barr, J.R.: Active Clustering with Ensembles for Social structure extr...
with: Barr, J.R.: Detecting questionable observers using face track clustering
with: Barr, J.R.: effectiveness of face detection algorithms in unconstraine...
with: Bartlett, M.S.: Best of Automatic Face and Gesture Recognition 2011
with: Bastias, D.: Iris Recognition: Comparing Visible-Light Lateral and Fro...
with: Becker, B.: Gender-from-Iris or Gender-from-Mascara?
with: Benalcazar, D.: Iris Recognition: Comparing Visible-Light Lateral and ...
with: Benjamin, E.: Interpretable Deep Learning-Based Forensic Iris Segmenta...
with: Bestagini, P.: Spotting the difference: Context retrieval and analysis...
with: Beveridge, J.R.: Overview of the Multiple Biometrics Grand Challenge
with: Bezold, G.: Consistency and Accuracy of CelebA Attribute Values
with: Bezold, G.: Logical Consistency and Greater Descriptive Power for Faci...
with: Bhanu, B.: Report of the AAAI Fall Symposium on Machine Learning and C...
with: Bharati, A.: Beyond Pixels: Image Provenance Analysis Leveraging Metad...
with: Bharati, A.: Fast Local Spatial Verification for Feature-Agnostic Larg...
with: Bharati, A.: Image Provenance Analysis at Scale
with: Bharati, A.: Provenance filtering for multimedia phylogeny
with: Bharati, A.: Spotting the difference: Context retrieval and analysis f...
with: Bharati, A.: U-Phylogeny: Undirected provenance graph construction in ...
with: Bhatta, A.: CAST: Conditional Attribute Subsampling Toolkit for Fine-g...
with: Bhatta, A.: Facial Hair Area in Face Recognition Across Demographics: ...
with: Bhatta, A.: Gender Gap in Face Recognition Accuracy Is a Hairy Problem...
with: Bhatta, A.: Impact of Blur and Resolution on Demographic Disparities i...
with: Bhatta, A.: Logical Consistency and Greater Descriptive Power for Faci...
with: Biswas, S.: Multidimensional Scaling for Matching Low-Resolution Face ...
with: Biswas, S.: Pose-Robust Recognition of Low-Resolution Face Images
with: Biswas, S.: Predicting good, bad and ugly match Pairs
with: Biswas, S.: Predicting performance of face recognition systems: An ima...
with: Biswas, S.: sparse representation approach to face matching across pla...
with: Bock, M.: Some Further Results of Experimental Comparison of Range Ima...
with: Bolme, D.S.: Overview of the Multiple Biometrics Grand Challenge
with: Boult, T.: Consistency and Accuracy of CelebA Attribute Values
with: Boult, T.E.: CAST: Conditional Attribute Subsampling Toolkit for Fine-...
with: Bovik, A.C.: Advances in image processing and understanding: A festsch...
with: Boyd, A.: CYBORG: Blending Human Saliency Into the Loss Improves Deep ...
with: Boyd, A.: Human Saliency-Driven Patch-based Matching for Interpretable...
with: Boyd, A.: Human-Aided Saliency Maps Improve Generalization of Deep Lea...
with: Boyd, A.: Interpretable Deep Learning-Based Forensic Iris Segmentation...
with: Boyd, A.: Iris presentation attack detection: Where are we now?
with: Brogan, J.: Beyond Pixels: Image Provenance Analysis Leveraging Metadata
with: Brogan, J.: Fast Local Spatial Verification for Feature-Agnostic Large...
with: Brogan, J.: Image Provenance Analysis at Scale
with: Brogan, J.: Provenance filtering for multimedia phylogeny
with: Brogan, J.: Spotting the difference: Context retrieval and analysis fo...
with: Brogan, J.: U-Phylogeny: Undirected provenance graph construction in t...
with: Bruegge, R.W.V.: Distinguishing identical twins by face recognition
with: Bunke, H.: Active Robot Vision
with: Bunke, H.: Comparing Curved-Surface Range Image Segmenters
with: Bunke, H.: Experimental Comparison of Range Image Segmentation Algorit...
with: Bunke, H.: Methodology for Evaluating Edge Detection Techniques for Ra...
with: Bunke, H.: Range Image Segmentation: The User's Dilemma
with: Bunke, H.: Special Issue on Active Robot Vision: Camera Heads, Model ...
with: Burge, M.J.: Handbook of Iris Recognition
with: Cament, L.A.: Active Clustering with Ensembles for Social structure ex...
with: Cament, L.A.: Face recognition under pose variation with active shape ...
with: Cament, L.A.: Face recognition under pose variation with local Gabor f...
with: Chang, J.: Overview of the Face Recognition Grand Challenge
with: Chang, K.I.: Adaptive Rigid Multi-region Selection for Handling Expres...
with: Chang, K.I.: Comparison and combination of ear and face images in appe...
with: Chang, K.I.: Evaluation of Multimodal 2D+3D Face Biometrics, An
with: Chang, K.I.: Evaluation of Texture Segmentation Algorithms
with: Chang, K.I.: Face Recognition Using 2-D, 3-D, and Infrared: Is Multimo...
with: Chang, K.I.: Multi-biometrics using facial appearance, shape and tempe...
with: Chang, K.I.: Multi-modal 2D and 3D biometrics for face recognition
with: Chang, K.I.: Multiple Nose Region Matching for 3D Face Recognition und...
with: Chang, K.I.: survey of approaches and challenges in 3D and multi-modal...
with: Chang, K.I.: survey of approaches to three-dimensional face recognitio...
with: Chawla, N.: Bagging Is a Small-Data-Set Phenomenon
with: Chawla, N.V.: Distributed learning with bagging-like performance
with: Chawla, N.V.: Learning to predict gender from iris images
with: Chawla, N.V.: Random Subspaces and Subsampling for 2-D Face Recognition
with: Chen, C.W.: Advances in image processing and understanding: A festschr...
with: Chen, X.: Face Recognition Using 2-D, 3-D, and Infrared: Is Multimodal...
with: Chen, X.: Fusion of Infrared and Range Data: Multi-modal Face Images
with: Chen, X.: Human Face Modeling and Recognition Through Multi-View High ...
with: Chen, X.: IR and visible light face recognition
with: Chen, X.: Multi-biometrics using facial appearance, shape and temperat...
with: Chen, X.: PCA-based face recognition in infrared imagery: baseline and...
with: Christensen, H.I.: Active Robot Vision
with: Christensen, H.I.: Scale Space Aspect Graph, The
with: Christensen, H.I.: Special Issue on Active Robot Vision: Camera Heads...
with: Chute, D.: Interpretable Deep Learning-Based Forensic Iris Segmentatio...
with: Connaughton, R.: cross-sensor evaluation of three commercial iris came...
with: Cook, D.: Learning Combination of Evidence Functions in Object Recogni...
with: Cook, D.: Learning Membership Functions in a Function-Based Object Rec...
with: Czajka, A.: Analysis of diurnal changes in pupil dilation and eyelid a...
with: Czajka, A.: CYBORG: Blending Human Saliency Into the Loss Improves Dee...
with: Czajka, A.: Digital and Physical-World Attacks on Remote Pulse Detection
with: Czajka, A.: Domain-Specific Human-Inspired Binarized Statistical Image...
with: Czajka, A.: Human Saliency-Driven Patch-based Matching for Interpretab...
with: Czajka, A.: Human-Aided Saliency Maps Improve Generalization of Deep L...
with: Czajka, A.: Interpretable Deep Learning-Based Forensic Iris Segmentati...
with: Czajka, A.: Iris Presentation Attack Detection Based on Photometric St...
with: Czajka, A.: Iris presentation attack detection: Where are we now?
with: Czajka, A.: Performance of Humans in Iris Recognition: The Impact of I...
with: Czajka, A.: Presentation Attack Detection for Iris Recognition: An Ass...
with: Czajka, A.: Remote Pulse Estimation in the Presence of Face Masks
with: Czajka, A.: Unifying frame rate and temporal dilations for improved re...
with: Dougherty, S.: Edge Detector Evaluation Using Empirical ROC Curves
with: Dougherty, S.: Objective Evaluation of Edge Detectors Using a Formall...
with: Dougherty, S.: ROC curve evaluation of edge detector performance
with: Doyle, J.S.: Cosmetic Contact Lenses and Iris Recognition Spoofing
with: Draper, B.A.: Overview of the Multiple Biometrics Grand Challenge
with: du Buf, J.M.H.: Some Further Results of Experimental Comparison of Ran...
with: Dyer, C.R.: Aspect Graphs: an Introduction and Survey of Recent Results
with: Dyer, C.R.: Scale Space Aspect Graph, The
with: Dyer, C.R.: Three-Dimensional Shape Representation
with: Dyer, C.R.: Why Aspect Graphs Are Not (Yet) Practical for Computer Vis...
with: Eggert, D.W.: Aspect Graphs and Nonlinear Optimization in 3-D Object R...
with: Eggert, D.W.: Aspect Graphs and Their Use in Object Recognition
with: Eggert, D.W.: Computing the Generalized Aspect Graph for Objects with ...
with: Eggert, D.W.: Computing the Orthographic Projection Aspect Graph of So...
with: Eggert, D.W.: Computing the Perspective Projection Aspect Graph of Sol...
with: Eggert, D.W.: Developing the Aspect Graph Representation for Use in Im...
with: Eggert, D.W.: ERRORS-2: A 3-D Object Recognition System Using Aspect G...
with: Eggert, D.W.: Experimental Comparison of Range Image Segmentation Algo...
with: Eggert, D.W.: Generic Recognition of Articulated Objects by Reasoning ...
with: Eggert, D.W.: Generic Recognition of Articulated Objects Through Reaso...
with: Eggert, D.W.: Perspective Projection Aspect Graphs of Solids of Revolu...
with: Eggert, D.W.: Scale Space Aspect Graph, The
with: Faltemier, T.C.: 3D Face Recognition with Region Committee Voting
with: Faltemier, T.C.: Comparison of 3D Biometric Modalities, A
with: Faltemier, T.C.: Human Face Modeling and Recognition Through Multi-Vie...
with: Faltemier, T.C.: Rotated Profile Signatures for robust 3D feature dete...
with: Faltemier, T.C.: Using a Multi-Instance Enrollment Representation to I...
with: Faltemier, T.C.: Using multi-instance enrollment to improve performanc...
with: Fang, Z.: Iris Presentation Attack Detection Based on Photometric Ster...
with: Fang, Z.Y.: Iris presentation attack detection: Where are we now?
with: Faugeras, O.D.: Why Aspect Graphs Are Not (Yet) Practical for Computer...
with: Fenker, S.P.: Analysis of template aging in iris biometrics
with: Fenker, S.P.: Experimental evidence of a template aging effect in iris...
with: Fenker, S.P.: Genetically identical irises have texture similarity tha...
with: Fisher, R.B.: Experimental Comparison of Range Image Segmentation Algo...
with: Fitzgibbon, A.W.: Experimental Comparison of Range Image Segmentation ...
with: Flynn, P.J.: 20th Anniversary of the IEEE Transactions on Pattern Anal...
with: Flynn, P.J.: 20th Anniversary Survey: Introduction to Content-Based Im...
with: Flynn, P.J.: 3D Face Recognition with Region Committee Voting
with: Flynn, P.J.: 3D Twins and Expression Challenge
with: Flynn, P.J.: Active Clustering with Ensembles for Social structure ext...
with: Flynn, P.J.: Adaptive Rigid Multi-region Selection for Handling Expres...
with: Flynn, P.J.: All Iris Code Bits are Not Created Equal
with: Flynn, P.J.: All Iris Filters are Not Created Equal
with: Flynn, P.J.: Analyzing the Impact of Shape & Context on the Face R...
with: Flynn, P.J.: Assessment of Time Dependency in Face Recognition: An Ini...
with: Flynn, P.J.: Best Bits in an Iris Code, The
with: Flynn, P.J.: Beyond Pixels: Image Provenance Analysis Leveraging Metad...
with: Flynn, P.J.: Comments on the CASIA version 1.0 Iris Data Set
with: Flynn, P.J.: Comparison of 3D Biometric Modalities, A
with: Flynn, P.J.: Contact lenses: Handle with care for iris recognition
with: Flynn, P.J.: cross-sensor evaluation of three commercial iris cameras ...
with: Flynn, P.J.: Degradation of iris recognition performance due to non-co...
with: Flynn, P.J.: Detecting questionable observers using face track cluster...
with: Flynn, P.J.: Digital and Physical-World Attacks on Remote Pulse Detect...
with: Flynn, P.J.: Dilation-aware enrolment for iris recognition
with: Flynn, P.J.: Distinguishing identical twins by face recognition
with: Flynn, P.J.: Domain-Specific Human-Inspired Binarized Statistical Imag...
with: Flynn, P.J.: effectiveness of face detection algorithms in unconstrain...
with: Flynn, P.J.: Effects of dominance and laterality on iris recognition
with: Flynn, P.J.: Empirical Evidence for Correct Iris Match Score Degradati...
with: Flynn, P.J.: Evaluation of Multimodal 2D+3D Face Biometrics, An
with: Flynn, P.J.: Experimental Comparison of Range Image Segmentation Algor...
with: Flynn, P.J.: Experimental Evaluation of Iris Recognition
with: Flynn, P.J.: Eye Perturbation Approach for Robust Recognition of Inacc...
with: Flynn, P.J.: Face Recognition Using 2-D, 3-D, and Infrared: Is Multimo...
with: Flynn, P.J.: Fast Face Image Synthesis With Minimal Training
with: Flynn, P.J.: Fast Local Spatial Verification for Feature-Agnostic Larg...
with: Flynn, P.J.: FRVT 2006 and ICE 2006 Large-Scale Experimental Results
with: Flynn, P.J.: Fusion of Infrared and Range Data: Multi-modal Face Images
with: Flynn, P.J.: Genetically identical irises have texture similarity that...
with: Flynn, P.J.: Human Face Modeling and Recognition Through Multi-View Hi...
with: Flynn, P.J.: Image Averaging for Improved Iris Recognition
with: Flynn, P.J.: Image Provenance Analysis at Scale
with: Flynn, P.J.: Image Understanding for Iris Biometrics: A survey
with: Flynn, P.J.: Importance of Small Pupils: A Study of How Pupil Dilation...
with: Flynn, P.J.: Improved Iris Recognition through Fusion of Hamming Dista...
with: Flynn, P.J.: Interpretable Deep Learning-Based Forensic Iris Segmentat...
with: Flynn, P.J.: IR and visible light face recognition
with: Flynn, P.J.: Iris Challenge Evaluation 2005, The
with: Flynn, P.J.: Learning to predict gender from iris images
with: Flynn, P.J.: Lessons from collecting a million biometric samples
with: Flynn, P.J.: Multi-biometrics using facial appearance, shape and tempe...
with: Flynn, P.J.: Multi-Factor Approach to Improving Recognition Performanc...
with: Flynn, P.J.: Multi-frame Approaches To Improve Face Recognition
with: Flynn, P.J.: Multi-modal 2D and 3D biometrics for face recognition
with: Flynn, P.J.: Multidimensional Scaling for Matching Low-Resolution Face...
with: Flynn, P.J.: Multiple Nose Region Matching for 3D Face Recognition und...
with: Flynn, P.J.: On Hallucinating Context and Background Pixels from a Fac...
with: Flynn, P.J.: Overview of the Face Recognition Grand Challenge
with: Flynn, P.J.: Overview of the Multiple Biometrics Grand Challenge
with: Flynn, P.J.: PCA-based face recognition in infrared imagery: baseline ...
with: Flynn, P.J.: Performance of Humans in Iris Recognition: The Impact of ...
with: Flynn, P.J.: Pose-Robust Recognition of Low-Resolution Face Images
with: Flynn, P.J.: Predicting good, bad and ugly match Pairs
with: Flynn, P.J.: Predicting performance of face recognition systems: An im...
with: Flynn, P.J.: Preliminary Face Recognition Grand Challenge Results
with: Flynn, P.J.: Profile Face Detection: A Subset Multi-Biometric Approach
with: Flynn, P.J.: Provenance filtering for multimedia phylogeny
with: Flynn, P.J.: Pupil dilation degrades iris biometric performance
with: Flynn, P.J.: Range Image Segmentation: The User's Dilemma
with: Flynn, P.J.: Remote Pulse Estimation in the Presence of Face Masks
with: Flynn, P.J.: Rotated Profile Signatures for robust 3D feature detection
with: Flynn, P.J.: Similarity of iris texture between identical twins
with: Flynn, P.J.: sparse representation approach to face matching across pl...
with: Flynn, P.J.: Spotting the difference: Context retrieval and analysis f...
with: Flynn, P.J.: survey of approaches and challenges in 3D and multi-modal...
with: Flynn, P.J.: survey of approaches to three-dimensional face recognitio...
with: Flynn, P.J.: U-Phylogeny: Undirected provenance graph construction in ...
with: Flynn, P.J.: Unifying frame rate and temporal dilations for improved r...
with: Flynn, P.J.: Useful features for human verification in near-infrared p...
with: Flynn, P.J.: Using a Multi-Instance Enrollment Representation to Impro...
with: Flynn, P.J.: Using fragile bit coincidence to improve iris recognition
with: Flynn, P.J.: Using multi-instance enrollment to improve performance of...
with: Galdames, F.J.: Face recognition under pose variation with active shap...
with: Galdames, F.J.: Face recognition under pose variation with local Gabor...
with: Gbekevi, A.E.E.: Analyzing the Impact of Gender Misclassification on F...
with: Gentile, J.E.: Profile Face Detection: A Subset Multi-Biometric Approach
with: Givens, G.H.: Overview of the Multiple Biometrics Grand Challenge
with: Goldgof, D.: Dynamic-Scale Model Construction From Range Imagery
with: Goldgof, D.: Egomotion estimation of a range camera using the space en...
with: Goldgof, D.: Extracting a Valid Boundary Representation from a Segment...
with: Goldgof, D.: On Recovering Hyperquadrics from Range Data
with: Goldgof, D.: Point Correspondence in Unstructured Nonrigid Motion
with: Goldgof, D.: Range Image Segmentation: The User's Dilemma
with: Goldgof, D.: Space Envelope: A Representation for 3D Scenes, The
with: Goldgof, D.B.: Advances in image processing and understanding: A fests...
with: Goldgof, D.B.: Comparison of Edge Detection Algorithms Using a Structu...
with: Goldgof, D.B.: Comparison of Edge Detector Performance through Use in ...
with: Goldgof, D.B.: Comparison of Edge Detectors Using an Object Recognitio...
with: Goldgof, D.B.: Evaluation of Edge Detection Algorithms Using a Structu...
with: Goldgof, D.B.: Experimental Comparison of Range Image Segmentation Alg...
with: Goldgof, D.B.: Function-Based Recognition from Incomplete Knowledge of...
with: Goldgof, D.B.: Function-Based Recognition from Incomplete Knowledge of...
with: Goldgof, D.B.: Methodology for Evaluating Edge Detection Techniques fo...
with: Goldgof, D.B.: Methodology for Evaluating Range Image Segmentation Tec...
with: Goldgof, D.B.: Objective Comparison Methodology of Edge Detection Algo...
with: Goldgof, D.B.: Recognizing Object Function Through Reasoning about Par...
with: Goldgof, D.B.: Scale Space Aspect Graph, The
with: Goldgof, D.B.: Using Hyperquadrics for Shape Recovery from Range Data
with: Green, K.: Generic Recognition of Articulated Objects by Reasoning abo...
with: Green, K.: Generic Recognition of Articulated Objects Through Reasonin...
with: Grother, P.J.: Baseline results for the challenge problem of human ID ...
with: Grother, P.J.: Distinguishing identical twins by face recognition
with: Grother, P.J.: gait identification challenge problem: data sets and ba...
with: Grother, P.J.: HumanID Gait Challenge Problem: Data Sets, Performance,...
with: Guerra, C.: Some Further Results of Experimental Comparison of Range I...
with: Gunther, M.: Consistency and Accuracy of CelebA Attribute Values
with: Hale, P.: Beyond Pixels: Image Provenance Analysis Leveraging Metadata
with: Hall, L.O.: Bagging Is a Small-Data-Set Phenomenon
with: Hall, L.O.: Comparison of Decision Tree Ensemble Creation Techniques, A
with: Hall, L.O.: Detecting and ordering salient regions for efficient brows...
with: Hall, L.O.: Distributed learning with bagging-like performance
with: Hall, L.O.: Learning Combination of Evidence Functions in Object Recog...
with: Hall, L.O.: Learning Membership Functions in a Function-Based Object R...
with: Hall, L.O.: Methods for Combination of Evidence in Function-Based 3-D ...
with: Hall, L.O.: Report of the AAAI Fall Symposium on Machine Learning and ...
with: Hall, L.O.: Semi-supervised learning on large complex simulations
with: Han, S.: On Recovering Hyperquadrics from Range Data
with: Han, S.: Using Hyperquadrics for Shape Recovery from Range Data
with: Heath, M.D.: Are Edges Sufficient for Object Recognition
with: Heath, M.D.: Comparison of Edge Detectors
with: Heath, M.D.: Comparison of Edge Detectors: A Methodology and Initial S...
with: Heath, M.D.: Robust Visual Method for Assessing the Relative Performan...
with: Hentz, A.: Contact lenses: Handle with care for iris recognition
with: Hentz, A.: Degradation of iris recognition performance due to non-cosm...
with: Hiura, S.: Some Further Results of Experimental Comparison of Range Im...
with: Hoffman, K.: Overview of the Face Recognition Grand Challenge
with: Hollingsworth, K.: Genetically identical irises have texture similarit...
with: Hollingsworth, K.: Similarity of iris texture between identical twins
with: Hollingsworth, K.: Useful features for human verification in near-infr...
with: Hollingsworth, K.P.: All Iris Code Bits are Not Created Equal
with: Hollingsworth, K.P.: All Iris Filters are Not Created Equal
with: Hollingsworth, K.P.: Best Bits in an Iris Code, The
with: Hollingsworth, K.P.: Image Averaging for Improved Iris Recognition
with: Hollingsworth, K.P.: Image Understanding for Iris Biometrics: A survey
with: Hollingsworth, K.P.: Importance of Small Pupils: A Study of How Pupil ...
with: Hollingsworth, K.P.: Improved Iris Recognition through Fusion of Hammi...
with: Hollingsworth, K.P.: Pupil dilation degrades iris biometric performance
with: Hollingsworth, K.P.: Using fragile bit coincidence to improve iris rec...
with: Hoover, A.: Dynamic-Scale Model Construction From Range Imagery
with: Hoover, A.: Egomotion estimation of a range camera using the space env...
with: Hoover, A.: Experimental Comparison of Range Image Segmentation Algori...
with: Hoover, A.: Extracting a Valid Boundary Representation from a Segmente...
with: Hoover, A.: Methodology for Evaluating Edge Detection Techniques for R...
with: Hoover, A.: Methodology for Evaluating Range Image Segmentation Techni...
with: Hoover, A.: Range Image Segmentation: The User's Dilemma
with: Hoover, A.: Recognizing Object Function Through Reasoning about Partia...
with: Hoover, A.: Space Envelope: A Representation for 3D Scenes, The
with: Hoover, A.W.: Function-Based Recognition from Incomplete Knowledge of ...
with: Hoover, A.W.: Function-Based Recognition from Incomplete Knowledge of ...
with: Huang, T.S.: Advances in image processing and understanding: A festsch...
with: Ikeuchi, K.: Why Aspect Graphs Are Not (Yet) Practical for Computer Vi...
with: Inokuchi, S.: Some Further Results of Experimental Comparison of Range...
with: Jain, R.C.: Why Aspect Graphs Are Not (Yet) Practical for Computer Vis...
with: Jean Baptiste, G.: Experimental Comparison of Range Image Segmentation...
with: Jean Baptiste, G.: Methodology for Evaluating Edge Detection Technique...
with: Jean Baptiste, G.: Methodology for Evaluating Range Image Segmentation...
with: Jean Baptiste, G.: Range Image Segmentation: The User's Dilemma
with: Jiang, X.: Some Further Results of Experimental Comparison of Range Im...
with: Jiang, X.Y.: Comparing Curved-Surface Range Image Segmenters
with: Jiang, X.Y.: Experimental Comparison of Range Image Segmentation Algor...
with: Jiang, X.Y.: Methodology for Evaluating Edge Detection Techniques for ...
with: Jiang, X.Y.: Range Image Segmentation: The User's Dilemma
with: Jones, J.P.: Revolutions and Experimental Computer Vision
with: Kareem, A.: Automated Poststorm Damage Classification of Low-Rise Buil...
with: Kareem, A.: Color balancing for change detection in multitemporal images
with: Kasturi, R.: 20th Anniversary of the IEEE Transactions on Pattern Anal...
with: Kegelmeyer, P.: Bagging Is a Small-Data-Set Phenomenon
with: Kegelmeyer, W.P.: Combination of Multiple Classifiers Using Local Accu...
with: Kegelmeyer, W.P.: Comparison of Decision Tree Ensemble Creation Techni...
with: Kegelmeyer, W.P.: Detecting and ordering salient regions for efficient...
with: Kegelmeyer, W.P.: Distributed learning with bagging-like performance
with: Kegelmeyer, W.P.: Semi-supervised learning on large complex simulations
with: King, M.C.: Analysis of Gender Inequality In Face Recognition Accuracy
with: King, M.C.: Analysis of Manual and Automated Skin Tone Assignments
with: King, M.C.: Analyzing the Impact of Gender Misclassification on Face R...
with: King, M.C.: Consistency and Accuracy of CelebA Attribute Values
with: King, M.C.: Does Face Recognition Accuracy Get Better With Age? Deep F...
with: King, M.C.: Face Recognition Accuracy Across Demographics: Shining a L...
with: King, M.C.: Gender Gap in Face Recognition Accuracy Is a Hairy Problem...
with: King, M.C.: Impact of Blur and Resolution on Demographic Disparities i...
with: Korecki, J.N.: Semi-supervised learning on large complex simulations
with: Kranenburg, C.: Edge Detector Evaluation Using Empirical ROC Curves
with: Kranenburg, C.: ROC curve evaluation of edge detector performance
with: Krishnapriya, K.S.: Analysis of Gender Inequality In Face Recognition ...
with: Krishnapriya, K.S.: Analysis of Manual and Automated Skin Tone Assignm...
with: Krishnapriya, K.S.: Face Recognition Accuracy Across Demographics: Shi...
with: Kuehlkamp, A.: analysis of 1-to-first matching in iris recognition, An
with: Kuehlkamp, A.: Found a Good Match: Should I Keep Searching?: Accuracy ...
with: Kuehlkamp, A.: Gender-from-Iris or Gender-from-Mascara?
with: Kuehlkamp, A.: Human Saliency-Driven Patch-based Matching for Interpre...
with: Kuehlkamp, A.: Interpretable Deep Learning-Based Forensic Iris Segment...
with: Kuehlkamp, A.: Predicting Gender From Iris Texture May Be Harder Than ...
with: Kumar, S.: On Recovering Hyperquadrics from Range Data
with: Kumar, S.: Point Correspondence in Unstructured Nonrigid Motion
with: Lagree, S.: Genetically identical irises have texture similarity that ...
with: Langley, P.: Report of the AAAI Fall Symposium on Machine Learning and...
with: Liu, X.M.: Experimental Evaluation of Iris Recognition
with: Liu, X.M.: Iris Challenge Evaluation 2005, The
with: Liu, Z.Y.: HumanID Gait Challenge Problem: Data Sets, Performance, and...
with: Loke, R.E.: Some Further Results of Experimental Comparison of Range I...
with: Lui, Y.M.: Overview of the Multiple Biometrics Grand Challenge
with: Marques, J.: Overview of the Face Recognition Grand Challenge
with: Mello, C.: CAST: Conditional Attribute Subsampling Toolkit for Fine-gr...
with: Mery, D.: Automatic facial attribute analysis via adaptive sparse repr...
with: Mery, D.: Recognition of Facial Attributes Using Adaptive Sparse Repre...
with: Middendorff, C.: Multi-Modal Biometrics Involving the Human Ear
with: Min, J.: Automated Performance Evaluation of Range Image Segmentation
with: Min, J.: Automated Performance Evaluation of Range Image Segmentation ...
with: Min, J.: Eye Perturbation Approach for Robust Recognition of Inaccurat...
with: Min, J.: Improved range image segmentation by analyzing surface fit pa...
with: Min, J.: Overview of the Face Recognition Grand Challenge
with: Min, J.: Progress in Automated Evaluation of Curved Surface Range Imag...
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