CVPR 2001 - PDF Preprint Papers

CVPR 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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CVPR
2001
IEEE

464views Computer Vision» more CVPR 2001»

Rapid Object Detection using a Boosted Cascade of Simple Features

14 years 6 months ago

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This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...

Paul A. Viola, Michael J. Jones

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Id	Views	Title	Status

1	464	Rapid Object Detection using a Boosted Cascade of Simple Features	claim
2	366	Learning Spatially Localized, Parts-Based Representation	claim
3	320	A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy	claim
4	314	Small Sample Learning during Multimedia Retrieval using BiasMap	claim
5	305	3D Head Tracking Using Motion Adaptive Texture-Mapping	claim
6	304	Eliminating Ghosting and Exposure Artifacts in Image Mosaics	claim
7	292	Bayesian Color Constancy for Outdoor Object Recognition	claim
8	283	Simultaneous linear estimation of multiple view geometry and lens distortion	claim
9	281	Tracking and Modeling Non-Rigid Objects with Rank Constraints	claim
10	263	Geometric Blur for Template Matching	claim
11	256	Texture Replacement in Real Images	claim
12	255	Non-Metric Image-Based Rendering for Video Stabilization	claim
13	255	Local Feature View Clustering for 3D Object Recognition	claim
14	248	Learning Probabilistic Distribution Model for Multi-View Face Detection	claim
15	246	Alpha Channel Estimation in High Resolution Images and Image Sequences	claim
16	246	Event-Based Analysis of Video	claim
17	239	Bending Invariant Representations for Surfaces	claim
18	238	A Topology Preserving Deformable Model Using Level Sets	claim
19	238	3D Object Recognition from Range Images using Local Feature Histograms	claim
20	236	Optimal Texture Map Reconstruction from Multiple Views	claim
21	234	3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain	claim
22	234	Object Based Segmentation of Video Using Color, Motion and Spatial Information	claim
23	233	A Weighted Non-Negative Matrix Factorization for Local Representations	claim
24	232	Single View Modeling of Free-Form Scenes	claim
25	230	An Adaptive Algorithm for Text Detection from Natural Scenes	claim
26	230	Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
27	226	Learning Representative Local Features for Face Detection	claim
28	219	Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting	claim
29	219	Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking	claim
30	218	Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space	claim
31	217	A Subspace Approach to Layer Extraction	claim
32	213	Photometric Stereo with General, Unknown Lighting	claim
33	212	Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback	claim
34	211	A Probabilistic Framework for Surface Reconstruction from Multiple Images	claim
35	210	3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models	claim
36	207	Component-based Face Detection
37	205	Issues on the Geometry of Central Catadioptric Image Formation	claim
38	204	Rectifying Transformations That Minimize Resampling Effects	claim
39	203	A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition	claim
40	203	Learning Models for Object Recognition	claim
41	203	Light Field Rendering for Large-Scale Scenes	claim
42	203	Adaptive Binning and Dissimilarity Measure for Image Retrieval and Classification	claim
43	201	Combining Two-view Constraints For Motion Estimation	claim
44	194	Support Vector Tracking	claim
45	193	Diffusion Tensor Regularization with Constraints Preservation	claim
46	193	Image Indexing with Mixture Hierarchies	claim
47	192	Adaptive Quasiconformal Kernel Metric for Image Retrieval	claim
48	192	On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces	claim
49	191	Mixtures of Trees for Object Recognition	claim
50	191	Optimal Adaptive Learning for Image Retrieval	claim
51	189	Structure and Motion from Uncalibrated Catadioptric Views	claim
52	187	Precise Omnidirectional Camera Calibration	claim
53	187	Three-Dimensional Medial Shape Representation Incorporating Object Variability	claim
54	184	A Bayesian Approach to Digital Matting	claim
55	182	Efficient Computation of Adaptive Threshold Surfaces for Image Binarization	claim
56	182	Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture	claim
57	182	Tracking of Object with SVM Regression	claim
58	181	Clustering Art	claim
59	181	On Solving 2D and 3D Puzzles Using Curve Matching	claim
60	180	Generic Model Abstraction from Examples	claim
61	176	Handling Occlusions in Dense Multi-view Stereo	claim
62	174	Bayesian Learning of Sparse Classifiers	claim
63	173	Fast Focal Length Solution in Partial Panoramic Image Stitching	claim
64	173	Automatic Description of Buildings with Complex Rooftops from Multiple Images	claim
65	172	Multibody Grouping via Orthogonal Subspace Decomposition	claim
66	171	Calibrated, Registered Images of an Extended Urban Area	claim
67	170	Text Identification in Complex Background Using SVM	claim
68	170	Scene-Consistent Detection of Feature Points in Video Sequences	claim
69	167	Compact Representation of Bidirectional Texture Functions	claim
70	167	Convex and Non-convex Illuminant Constraints for Dichromatic Colour Constancy	claim
71	167	Face Verification Using Error Correcting Output Codes	claim
72	166	Semi-Dense Stereo Correspondence with Dense Features	claim
73	165	Critical Configurations for N-view Projective Reconstruction	claim
74	164	Virtual Sample Generation For Template-Based Shape Matching	claim
75	162	The 3D Line Motion Matrix and Alignment of Line Reconstructions	claim
76	162	Gait Recognition from Time-Normalized Joint-Angle Trajectories in the Walking Plane	claim
77	162	Matching of Double-Sided Document Images to Remove Interference	claim
78	161	Multispectral Skin Color Modeling	claim
79	160	Flexible flow for 3D nonrigid tracking and shape recovery	claim
80	160	Evolving Image Segmentations for the Analysis of Video Sequences	claim
81	158	Geometric Distributions for Catadioptric Sensor Design	claim
82	158	Learning Flexible Sprites in Video Layers	claim
83	157	Non parametric motion recognition using temporal multiscale Gibbs models	claim
84	156	Non-Rigid Object Tracking using Performance Evaluation Measures as Feedback	claim
85	156	Using Robust Methods for Automatic Extraction of Buildings	claim
86	155	Morphable 3D models from video	claim
87	155	Multi-Object Tracking Using Dynamical Graph Matching	claim
88	154	Relief Mosaics by Joint View Triangulation	claim
89	153	Scalable, Absolute Position Recovery for Omni-Directional Image Networks	claim
90	153	Gait Recognition Using Static, Activity-Specific Parameters	claim
91	152	Camera Trajectory Estimation Using Inertial Sensor Measurements and Structure from Motion Results	claim
92	151	Real-time affine region tracking and coplanar grouping	claim
93	151	Image-based Modeling and Rendering of Surfaces with Arbitrary BRDFs	claim
94	150	Statistics of Real-World Illumination	claim
95	149	A Spherical Eye from Multiple Cameras (Makes Better Models of the World)	claim
96	148	Temporal Integration of Multiple Silhouette-Based Body-Part Hypotheses	claim
97	147	Recognition of Human Gaits	claim
98	147	Robust Online Appearance Models for Visual Tracking	claim
99	145	Understanding Popout through Repulsion	claim
100	142	Spatial Information in Multiresolution Histograms	claim
101	142	Communication via Eye Blinks - Detection and Duration Analysis in Real Time	claim
102	142	Nine Points of Light: Acquiring Subspaces for Face Recognition under Variable Lighting	claim
103	141	Piecewise Planar Segmentation for Automatic Scene Modeling	claim
104	141	On Focal Length Calibration from Two Views	claim
105	137	Dimension Recognition and Geometry Reconstruction in Vectorization of Engineering Drawings	claim
106	134	Reconstruction of 3-D Figure Motion from 2-D Correspondences	claim
107	134	Finding Folds: On the Appearance and Identification of Occlusion	claim
108	132	Dynamic Shadow Elimination for Multi-Projector Displays	claim
109	130	Model-Based Curve Evolution Technique for Image Segmentation	claim
110	123	Segmentation for Robust Tracking in the Presence of Severe Occlusion	claim
111	116	Robot Homing based on Corner Tracking in a Sequence of Panoramic Images	claim

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