PRL 2007 - PDF Preprint Papers

PRL 2007

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PRL
2007

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2D and 3D face recognition: A survey

13 years 12 months ago

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Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed ﬂaws and weakn...

Andrea F. Abate, Michele Nappi, Daniel Riccio, Gab...

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Id	Views	Title	Status

1	287	2D and 3D face recognition: A survey	claim
2	209	Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models	claim
3	200	Generative learning of visual concepts using multiobjective genetic programming	claim
4	180	Feature selection based on rough sets and particle swarm optimization	claim
5	180	Symmetric hash functions for secure fingerprint biometric systems	claim
6	168	Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark	claim
7	167	Calibration and removal of lateral chromatic aberration in images	claim
8	166	Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes	claim
9	164	Retrieval of objects in video by similarity based on graph matching	claim
10	163	A model based approach for pose estimation and rotation invariant object matching	claim
11	160	A 3D face and hand biometric system for robust user-friendly authentication	claim
12	158	Stability and convergence of the level set method in computer vision	claim
13	155	Integrated patch model: A generative model for image categorization based on feature selection	claim
14	154	Regularized mixture discriminant analysis	claim
15	150	A method for initialising the K-means clustering algorithm using kd-trees	claim
16	148	Damascening video databases for evaluation of face tracking and recognition - The DXM2VTS database	claim
17	147	Volume measure in 2DPCA-based face recognition	claim
18	146	Neighbor number, valley seeking and clustering	claim
19	145	Multiple color texture map fusion for 3D models	claim
20	140	Introducing a very large dataset of handwritten Farsi digits and a study on their varieties	claim
21	138	Ent-Boost: Boosting using entropy measures for robust object detection	claim
22	137	Improving nearest neighbor rule with a simple adaptive distance measure	claim
23	131	A new look at discriminative training for hidden Markov models	claim
24	128	Automatic recognition of biological particles in microscopic images	claim
25	125	Combining color and spatial information for object recognition across illumination changes	claim
26	118	Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework	claim
27	115	A decomposition scheme for 3D fuzzy objects based on fuzzy distance information	claim
28	108	Towards a measure of deformability of shape sequences	claim
29	107	Robust SS watermarking with improved capacity	claim
30	106	Factoring Gaussian precision matrices for linear dynamic models	claim
31	101	Accuracy versus speed in context-based object detection	claim
32	100	Using codebooks of fragmented connected-component contours in forensic and historic writer identification	claim
33	100	Visible models for interactive pattern recognition	claim
34	99	Polygonal shape description for recognition of partially occluded objects	claim
35	98	Error probabilities for local extrema in gene expression data	claim
36	96	Gabor wavelet similarity maps for optimising hierarchical road sign classifiers	claim
37	96	An Integrated Color and Intensity Co-occurrence Matrix	claim
38	96	An empirical analysis of the probabilistic K-nearest neighbour classifier	claim
39	96	Fusion of complementary detectors for improving blotch detection in digitized films	claim
40	94	Image analysis by discrete orthogonal dual Hahn moments	claim
41	93	Authenticating Pollock paintings using fractal geometry	claim
42	93	A temporal fusion strategy for cross-camera data association	claim
43	89	Segmentation of heterogeneous blob objects through voting and level set formulation	claim
44	87	HMM-based on-line signature verification: Feature extraction and signature modeling	claim
45	67	Stereovision depth analysis by two-dimensional motion charge memories	claim

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