ECCV 2002 - PDF Preprint Papers

ECCV 2002 European Conference on Computer Vision

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ECCV
2002
Springer

1127views Computer Vision» more ECCV 2002»

Removing Shadows from Images

14 years 6 months ago

Download vision.cs.arizona.edu

Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...

Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...

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Id	Views	Title	Status

1	1127	Removing Shadows from Images	claim
2	570	A Fast Radial Symmetry Transform for Detecting Points of Interest	claim
3	451	Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration	claim
4	441	SoftPOSIT: Simultaneous Pose and Correspondence Determination	claim
5	364	Is Super-Resolution with Optical Flow Feasible?	claim
6	357	On the Non-linear Optimization of Projective Motion Using Minimal Parameters	claim
7	330	Visual Data Fusion for Objects Localization by Active Vision	claim
8	318	Normalized Gradient Vector Diffusion and Image Segmentation	claim
9	317	An Affine Invariant Interest Point Detector	claim
10	312	Automatic Detection and Tracking of Human Motion with a View-Based Representation	claim
11	309	Recognizing and Tracking Human Action	claim
12	292	3D Statistical Shape Models Using Direct Optimisation of Description Length	claim
13	282	A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction	claim
14	271	Diffuse-Specular Separation and Depth Recovery from Image Sequences	claim
15	263	Assorted Pixels: Multi-sampled Imaging with Structural Models	claim
16	257	What Can Be Known about the Radiometric Response from Images?	claim
17	256	Parsing Images into Region and Curve Processes	claim
18	252	Fusion of Multiple Tracking Algorithms for Robust People Tracking	claim
19	247	Learning a Sparse Representation for Object Detection	claim
20	247	Robust Computer Vision through Kernel Density Estimation	claim
21	246	Learning to Parse Pictures of People	claim
22	242	Stereo Matching Using Belief Propagation	claim
23	241	Recovery of Reflectances and Varying Illuminants from Multiple Views	claim
24	239	Using Robust Estimation Algorithms for Tracking Explicit Curves
25	236	Multimodal Data Representations with Parameterized Local Structures	claim
26	234	Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion	claim
27	231	Estimating Human Body Configurations Using Shape Context Matching	claim
28	230	Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry	claim
29	230	Composite Texture Descriptions	claim
30	227	Color-Based Probabilistic Tracking	claim
31	226	3D Modelling Using Geometric Constraints: A Parallelepiped Based Approach	claim
32	225	Region Matching with Missing Parts	claim
33	225	Tracking and Object Classification for Automated Surveillance	claim
34	225	Towards Improved Observation Models for Visual Tracking: Selective Adaptation	claim
35	225	Eye Gaze Correction with Stereovision for Video-Teleconferencing	claim
36	224	Structure and Motion for Dynamic Scenes - The Case of Points Moving in Planes	claim
37	223	Bayesian Estimation of Layers from Multiple Images	claim
38	220	Audio-Video Sensor Fusion with Probabilistic Graphical Models	claim
39	218	Yet Another Survey on Image Segmentation: Region and Boundary Information Integration	claim
40	214	Statistical Modeling of Texture Sketch	claim
41	214	Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"	claim
42	213	Multi-camera Scene Reconstruction via Graph Cuts	claim
43	211	Finding the Largest Unambiguous Component of Stereo Matching	claim
44	210	Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions	claim
45	209	Implicit Probabilistic Models of Human Motion for Synthesis and Tracking	claim
46	207	Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation	claim
47	207	Local Analysis for 3D Reconstruction of Specular Surfaces - Part II	claim
48	206	Learning Shape from Defocus	claim
49	206	Increasing Space-Time Resolution in Video	claim
50	206	Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study	claim
51	205	Automatic Camera Calibration from a Single Manhattan Image	claim
52	204	Computing the Physical Parameters of Rigid-Body Motion from Video	claim
53	202	Neuro-Fuzzy Shadow Filter	claim
54	202	What Energy Functions Can Be Minimized via Graph Cuts?	claim
55	201	Probabilistic Search for Object Segmentation and Recognition	claim
56	201	Face Recognition from Long-Term Observations	claim
57	200	Quasi-Dense Reconstruction from Image Sequence	claim
58	200	Estimation of Illuminant Direction and Intensity of Multiple Light Sources	claim
59	198	Evaluating Image Segmentation Algorithms Using the Pareto Front	claim
60	197	All the Images of an Outdoor Scene	claim
61	197	Bayesian Self-Calibration of a Moving Camera	claim
62	196	Geometric Properties of Central Catadioptric Line Images	claim
63	193	A Comparison of Search Strategies for Geometric Branch and Bound Algorithms	claim
64	191	Class-Specific, Top-Down Segmentation	claim
65	188	DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images	claim
66	187	Hyperdynamics Importance Sampling	claim
67	186	Another Way of Looking at Plane-Based Calibration: The Centre Circle Constraint	claim
68	186	Linear Multi View Reconstruction with Missing Data	claim
69	183	Resolution Selection Using Generalized Entropies of Multiresolution Histograms	claim
70	181	Combining Appearance and Topology for Wide Baseline Matching	claim
71	180	Regularized Shock Filters and Complex Diffusion	claim
72	180	Factorial Markov Random Fields	claim
73	179	Representing Edge Models via Local Principal Component Analysis	claim
74	177	Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters	claim
75	177	Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes	claim
76	175	Phase-Based Local Features	claim
77	175	Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring	claim
78	174	Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization	claim
79	171	Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo	claim
80	171	Transitions of the 3D Medial Axis under a One-Parameter Family of Deformations	claim
81	171	Robust Parameterized Component Analysis	claim
82	170	Hierarchical Shape Modeling for Automatic Face Localization	claim
83	169	Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data	claim
84	169	Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction	claim
85	168	Building Roadmaps of Local Minima of Visual Models	claim
86	167	A Markov Chain Monte Carlo Approach to Stereovision	claim
87	166	On Affine Invariant Clustering and Automatic Cast Listing in Movies	claim
88	166	Maximizing Rigidity: Optimal Matching under Scaled-Orthography	claim
89	165	What Is the Role of Independence for Visual Recognition?	claim
90	164	Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces	claim
91	164	A New Image Registration Technique with Free Boundary Constraints: Application to Mammography	claim
92	164	Learning the Topology of Object Views	claim
93	163	Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery	claim
94	161	Model Acquisition by Registration of Multiple Acoustic Range Views	claim
95	161	A Variational Approach to Shape from Defocus	claim
96	161	Space-Time Tracking	claim
97	160	Symmetrical Dense Optical Flow Estimation with Occlusions Detection	claim
98	160	On Performance Characterization and Optimization for Image Retrieval	claim
99	159	Shock-Based Indexing into Large Shape Databases	claim
100	158	Linear Pose Estimation from Points or Lines	claim
101	158	Dense Motion Analysis in Fluid Imagery	claim
102	156	Dynamic Trees: Learning to Model Outdoor Scenes	claim
103	156	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation	claim
104	156	Exemplar-Based Face Recognition from Video	claim
105	156	New Techniques for Automated Architectural Reconstruction from Photographs	claim
106	154	Active Surface Reconstruction Using the Gradient Strategy	claim
107	152	Incremental Singular Value Decomposition of Uncertain Data with Missing Values	claim
108	150	Multilinear Analysis of Image Ensembles: TensorFaces	claim
109	149	Multivariate Saddle Point Detection for Statistical Clustering	claim
110	149	On the Motion and Appearance of Specularities in Image Sequences	claim
111	148	A Rectilinearity Measurement for Polygons	claim
112	147	Properties of the Catadioptric Fundamental Matrix	claim
113	147	Gait Sequence Analysis Using Frieze Patterns	claim
114	147	A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics	claim
115	147	A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition	claim
116	147	What Are Textons?	claim
117	146	Automatic Model Selection by Modelling the Distribution of Residuals	claim
118	146	Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters	claim
119	143	Structure from Planar Motions with Small Baselines	claim
120	142	Parameter Estimates for a Pencil of Lines: Bounds and Estimators	claim
121	140	A Reflective Symmetry Descriptor	claim
122	139	On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes	claim
123	139	Model-Based Silhouette Extraction for Accurate People Tracking	claim
124	138	Evaluation and Selection of Models for Motion Segmentation	claim
125	137	Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization	claim
126	137	Video Compass	claim
127	137	Combining Simple Discriminators for Object Discrimination	claim
128	134	Symmetric Sub-Pixel Stereo Matching	claim
129	133	Minimal Surfaces for Stereo	claim
130	133	Probabalistic Models and Informative Subspaces for Audiovisual Correspondence	claim
131	133	Real-Time Interactive Path Extraction with on-the-Fly Adaptation of the External Forces	claim
132	131	A Layered Motion Representation with Occlusion and Compact Spatial Support	claim
133	129	A Variational Approach to Recovering a Manifold from Sample Points	claim
134	128	A Probabilistic Theory of Occupancy and Emptiness	claim
135	127	New View Generation with a Bi-centric Camera	claim
136	126	Sensitivity of Calibration to Principal Point Position	claim
137	126	Camera Calibration with One-Dimensional Objects	claim
138	124	The Relevance of Non-generic Events in Scale Space Models	claim
139	124	Constructing Illumination Image Basis from Object Motion	claim
140	121	Towards Real-Time Cue Integration by Using Partial Results	claim
141	121	Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary	claim
142	117	Volterra Filtering of Noisy Images of Curves	claim
143	115	Revisiting Single-View Shape Tensors: Theory and Applications	claim
144	110	A Pseudo-Metric for Weighted Point Sets	claim

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