ICCV 2005 - PDF Preprint Papers

ICCV 2005 IEEE International Conference on Computer Vision

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ICCV
2005
IEEE

605views Computer Vision» more ICCV 2005»

Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?

14 years 6 months ago

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In order to obtain optimal 3D structure and viewing parameter estimates, bundle adjustment is often used as the last step of feature-based structure and motion estimation algorith...

Manolis I. A. Lourakis, Antonis A. Argyros

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Id	Views	Title	Status

1	605	Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?	claim
2	455	A Robust Algorithm for Point Set Registration Using Mixture of Gaussians
3	387	Modeling Scenes with Local Descriptors and Latent Aspects	claim
4	373	Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering	claim
5	355	Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition	claim
6	349	Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping	claim
7	340	Consistent Surface Color for Texturing Large Objects in Outdoor Scenes	claim
8	330	Actions as Space-Time Shapes	claim
9	329	Progressive Surface Reconstruction from Images Using a Local Prior	claim
10	306	Periodic Motion Detection and Segmentation via Approximate Sequence Alignment	claim
11	303	Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition	claim
12	300	Creating Efficient Codebooks for Visual Recognition	claim
13	297	Prior-Based Segmentation by Projective Registration and Level Sets	claim
14	291	Passive Photometric Stereo from Motion	claim
15	288	Efficient Visual Event Detection Using Volumetric Features	claim
16	288	The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features	claim
17	285	Geometric Context from a Single Image	claim
18	283	3D Human Action Recognition Using Spatio-temporal Motion Templates	claim
19	281	Space-Time Scene Manifolds	claim
20	278	When Does a Camera See Rain?	claim
21	277	Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter	claim
22	269	Object Recognition in High Clutter Images Using Line Features	claim
23	269	3D Shape Recognition and Reconstruction Based on Line Element Geometry	claim
24	252	3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines	claim
25	251	Local Features for Object Class Recognition	claim
26	251	LOCUS: Learning Object Classes with Unsupervised Segmentation	claim
27	248	Learning Non-Generative Grammatical Models for Document Analysis	claim
28	247	KALMANSAC: Robust Filtering by Consensus	claim
29	245	Beyond Trees: Common-Factor Models for 2D Human Pose Recovery	claim
30	244	A Spectral Technique for Correspondence Problems Using Pairwise Constraints	claim
31	242	A Joint System for Person Tracking and Face Detection	claim
32	242	Closely Coupled Object Detection and Segmentation	claim
33	241	Detecting Rotational Symmetries	claim
34	241	HMM Based Falling Person Detection Using Both Audio and Video	claim
35	238	Building a Classification Cascade for Visual Identification from One Example	claim
36	237	Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models	claim
37	237	Vector Boosting for Rotation Invariant Multi-View Face Detection	claim
38	237	Perceptual Scale Space and its Applications	claim
39	235	Recovering Human Body Configurations Using Pairwise Constraints between Parts	claim
40	234	Behaviour Understanding in Video: A Combined Method	claim
41	232	Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination	claim
42	232	Sparse Image Coding Using a 3D Non-Negative Tensor Factorization	claim
43	228	A Multilevel Banded Graph Cuts Method for Fast Image Segmentation	claim
44	227	Efficient Learning of Relational Object Class Models	claim
45	225	Parameter-Free Radial Distortion Correction with Centre of Distortion Estimation	claim
46	225	Combining Generative Models and Fisher Kernels for Object Recognition	claim
47	225	Contour-Based Learning for Object Detection	claim
48	224	An Algebraic Approach to Surface Reconstruction from Gradient Fields	claim
49	223	A Shape-Based Segmentation Approach: An Improved Technique Using Level Sets	claim
50	221	Deformation Invariant Image Matching	claim
51	220	A New Framework for Approximate Labeling via Graph Cuts	claim
52	220	Priors for People Tracking from Small Training Sets	claim
53	219	Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid	claim
54	219	A Bayesian Approach for Shadow Extraction from a Single Image	claim
55	217	Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation	claim
56	217	Robust Point Matching for Two-Dimensional Nonrigid Shapes	claim
57	214	Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images	claim
58	213	Consistent Segmentation for Optical Flow Estimation	claim
59	213	Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras	claim
60	210	Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model	claim
61	210	Uncalibrated Perspective Reconstruction of Deformable Structures	claim
62	209	Image Based Regression Using Boosting Method	claim
63	208	Bayesian Body Localization Using Mixture of Nonlinear Shape Models	claim
64	207	A Multi-Scale Hybrid Linear Model for Lossy Image Representation	claim
65	206	A Supervised Learning Framework for Generic Object Detection in Images	claim
66	204	Multimodal Human Computer Interaction: A Survey	claim
67	204	Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces	claim
68	202	Feature Hierarchies for Object Classification	claim
69	202	A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation	claim
70	202	Phase Field Models and Higher-Order Active Contours	claim
71	200	Visual Speech Recognition with Loosely Synchronized Feature Streams	claim
72	200	Bi-Directional Tracking Using Trajectory Segment Analysis	claim
73	200	Non-Orthogonal Binary Subspace and Its Applications in Computer Vision	claim
74	199	An Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy	claim
75	198	Learning Non-Negative Sparse Image Codes by Convex Programming	claim
76	197	Features for Recognition: Viewpoint Invariance for Non-Planar Scenes	claim
77	196	An Ensemble Prior of Image Structure for Cross-Modal Inference	claim
78	196	Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence	claim
79	196	A Unifying Approach to Hard and Probabilistic Clustering	claim
80	194	Active Search for Real-Time Vision	claim
81	194	Shapelets Correlated with Surface Normals Produce Surfaces	claim
82	194	Common Pattern Discovery Using Earth Mover's Distance and Local Flow Maximization	claim
83	193	Appearance Manifold of Facial Expression	claim
84	192	Object Categorization by Learned Universal Visual Dictionary	claim
85	191	A Stochastic Filter for Fluid Motion Tracking	claim
86	191	Learning Hierarchical Models of Scenes, Objects, and Parts	claim
87	191	Detection, Analysis and Matching of Hair	claim
88	190	Using Eye Reflections for Face Recognition Under Varying Illumination	claim
89	189	An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization	claim
90	188	Surface Parameterization Using Riemann Surface Structure	claim
91	187	Fast Head Tilt Detection for Human-Computer Interaction	claim
92	186	Image Statistics Based on Diffeomorphic Matching	claim
93	186	Can Two Specular Pixels Calibrate Photometric Stereo?	claim
94	186	Evaluation of Features Detectors and Descriptors Based on 3D Objects	claim
95	185	Neighborhood Preserving Embedding	claim
96	185	Guiding Model Search Using Segmentation	claim
97	184	Globally Optimal Estimates for Geometric Reconstruction Problems	claim
98	183	Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups	claim
99	181	Fundamental Matrix for Cameras with Radial Distortion	claim
100	180	Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences	claim
101	180	Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar	claim
102	178	Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation	claim
103	178	Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours	claim
104	178	BRDF Invariant Stereo Using Light Transport Constancy	claim
105	178	Structured Light in Scattering Media	claim
106	177	Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking	claim
107	176	Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations	claim
108	176	Class-Specific Material Categorisation	claim
109	176	Eliminating Structure and Intensity Misalignment in Image Stitching	claim
110	176	Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching	claim
111	176	High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps	claim
112	175	Layered Active Appearance Models	claim
113	174	Probabilistic Contour Extraction Using Hierarchical Shape Representation	claim
114	174	Appearance Modeling Under Geometric Context	claim
115	174	Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation	claim
116	174	Non-Parametric Self-Calibration	claim
117	173	Resolving Hand over Face Occlusion	claim
118	173	TemporalBoost for Event Recognition	claim
119	173	More-Than-Topology-Preserving Flows for Active Contours and Polygons	claim
120	172	Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions	claim
121	172	A Generative/Discriminative Learning Algorithm for Image Classification	claim
122	172	Conformal Metrics and True "Gradient Flows" for Curves	claim
123	171	Quasiconvex Optimization for Robust Geometric Reconstruction	claim
124	171	A Symmetric Patch-Based Correspondence Model for Occlusion Handling	claim
125	170	An Axis-Based Representation for Recognition	claim
126	170	Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes	claim
127	170	Exploring the Space of a Human Action	claim
128	168	Scale-Invariant Contour Completion Using Conditional Random Fields	claim
129	168	An Integrated Framework for Image Segmentation and Perceptual Grouping	claim
130	166	Patch Based Blind Image Super Resolution	claim
131	163	Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance	claim
132	162	Detecting Irregularities in Images and in Video	claim
133	162	Shape and Appearance Repair for Incomplete Point Surfaces	claim
134	162	Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects	claim
135	162	Using Extended Light Sources for Modeling Object Appearance under Varying Illumination	claim
136	160	Ensuring Color Consistency across Multiple Cameras	claim
137	160	A Hierarchical Field Framework for Unified Context-Based Classification	claim
138	159	On the Equivalence of Common Approaches to Lighting Insensitive Recognition	claim
139	159	Convex Grouping Combining Boundary and Region Information	claim
140	159	A Theory of Inverse Light Transport	claim
141	158	Regular Polygon Detection	claim
142	158	Detection of Concentric Circles for Camera Calibration	claim
143	158	Multi-View AAM Fitting and Camera Calibration	claim
144	157	Shape and Spatially-Varying BRDFs from Photometric Stereo	claim
145	155	Automatic 3D Face Modeling from Video	claim
146	154	Learning Object Categories from Google's Image Search	claim
147	152	Edge-Based Rich Representation for Vehicle Classification	claim
148	152	A Maximum Entropy Framework for Part-Based Texture and Object Recognition	claim
149	151	Geometric Invariants and Applications under Catadioptric Camera Model	claim
150	151	Fast Texture-Based Tracking and Delineation Using Texture Entropy	claim
151	151	Real-Time Adaptive Hand Motion Recognition Using a Sparse Bayesian Classifier	claim
152	151	Visual Learning Given Sparse Data of Unknown Complexity	claim
153	150	Realtime IBR with Omnidirectional Crossed-Slits Projection	claim
154	150	Improved Sub-pixel Stereo Correspondences through Symmetric Refinement	claim
155	149	A Model-Based Vehicle Segmentation Method for Tracking	claim
156	148	Incorporating Visual Knowledge Representation in Stereo Reconstruction	claim
157	148	Mutual Information Regularized Bayesian Framework for Multiple Image Restoration	claim
158	148	Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning	claim
159	147	Mobile Camera-Based User Interaction	claim
160	146	Multi-Scale Gesture Recognition from Time-Varying Contours	claim
161	145	A Graph Cut Algorithm for Generalized Image Deconvolution	claim
162	144	On-Line Density-Based Appearance Modeling for Object Tracking	claim
163	144	On the Spatial Statistics of Optical Flow	claim
164	142	Fixed Point Probability Field for Complex Occlusion Handling	claim
165	142	Reconstructing the Geometry of Flowing Water	claim
166	140	Dynamic Measurement Clustering to Aid Real Time Tracking	claim
167	140	Tracking Body Parts of Multiple People for Multi-person Multimodal Interface	claim
168	139	Randomized RANSAC with Sequential Probability Ratio Test	claim
169	139	Learning the Probability of Correspondences without Ground Truth	claim
170	138	What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux	claim
171	138	Dynamic Refraction Stereo	claim
172	138	How Hard is 3-View Triangulation Really?	claim
173	137	A Study of Detecting Social Interaction with Sensors in a Nursing Home Environment	claim
174	137	Shape from Symmetry	claim
175	134	Mixtures of Dynamic Textures	claim
176	133	Robust Path-Based Spectral Clustering with Application to Image Segmentation	claim
177	133	Finding Tree Structures by Grouping Symmetries	claim
178	133	Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis	claim
179	133	Non-Negative Lighting and Specular Object Recognition	claim
180	132	Shadow Flow: A Recursive Method to Learn Moving Cast Shadows	claim
181	132	Perceptive User Interface, a Generic Approach	claim
182	131	Face Recognition in the Presence of Multiple Illumination Sources	claim
183	131	Fusing Points and Lines for High Performance Tracking	claim
184	131	Photometric Stereo under Perspective Projection	claim
185	130	On Optimal Light Configurations in Photometric Stereo	claim
186	128	Registration of Multimodal Fluorescein Images Sequence of the Retina	claim
187	128	Integrating the Effects of Motion, Illumination and Structure in Video Sequences	claim
188	125	A Bilinear Illumination Model for Robust Face Recognition	claim
189	123	Incremental Discovery of Object Parts in Video Sequences	claim
190	123	Learning Effective Image Metrics from Few Pairwise Examples	claim
191	121	Vignette and Exposure Calibration and Compensation	claim
192	119	Mesh Optimization Using an Inconsistency Detection Template	claim
193	119	Separating Transparent Layers of Repetitive Dynamic Behaviors	claim
194	107	Learning Models for Predicting Recognition Performance	claim
195	102	Good Continuation of General 2D Visual Features: Dual Harmonic Models and Computational Inference	claim

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