CVPR 1997 - PDF Preprint Papers

CVPR 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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CVPR
1997
IEEE

1090views Computer Vision» more CVPR 1997»

Image Indexing Using Color Correlograms

2 years 3 months ago

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We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effec...

Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu...

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Id	Views	Title	Status
1	1090	Image Indexing Using Color Correlograms	claim
2	152	Learning Parameterized Models of Image Motion	claim
3	114	Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point	claim
4	113	Projective registration with difference decomposition	claim
5	85	Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images	claim
6	81	Experimental Performance Evaluation of Feature Grouping Modules	claim
7	76	Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields	claim
8	72	A Four-step Camera Calibration Procedure with Implicit Image Correction	claim
9	72	A general filter for measurements with any probability distribution	claim
10	70	Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces	claim
11	69	Learning and Recognizing Human Dynamics in Video Sequences	claim
12	68	Learning bilinear models for two-factor problems in vision	claim
13	66	Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces	claim
14	64	The Bas-Relief Ambiguity	claim
15	64	3D Reconstruction of the Human Jaw from A Sequence of Images	claim
16	64	Shape from the Light Field Boundary	claim
17	64	Gradient Vector Flow: A New External Force for Snakes	claim
18	63	Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras	claim
19	60	Global Training of Document Processing Systems Using Graph Transformer Networks	claim
20	59	Representation Of Objects In A Volumetric Frequency Domain With Application To Face Recognition	claim
21	59	Real-time closed-world tracking	claim
22	57	Multi-Image Focus of Attention for Rapid Site Model Construction	claim
23	55	Parametrized structure from motion for 3D adaptive feedback tracking of faces	claim
24	54	Coupled hidden Markov models for complex action recognition	claim
25	53	Training Support Vector Machines: an Application to Face Detection	claim
26	52	Tracking non-rigid, moving objects based on color cluster flow	claim
27	52	Analysis of Gesture and Action in Technical Talks for Video Indexing	claim
28	51	Pictorial Recognition Using Affine-Invariant Spectral Signatures	claim
29	50	Stereo Coupled Active Contours	claim
30	50	Automatic line matching across views	claim
31	50	Recognizing Objects by Matching Oriented Points	claim
32	49	Efficient Approximation of Range Images Through Data-Dependent Adaptive Triangulations	claim
33	49	Creating Image-Based VR Using a Self-Calibrating Fisheye Lens	claim
34	47	Area and Length Minimizing Flows for Shape Segmentation	claim
35	46	Multi-Modal Tracking of Faces for Video Communications	claim
36	46	Object detection with vector quantized binary features	claim
37	45	Disparity Component Matching for Visual Correspondence	claim
38	45	Local Blur Estimation and Super-Resolution	claim
39	45	Normalized Cuts and Image Segmentation	claim
40	44	Autocalibration and the absolute quadric	claim
41	42	Novel view synthesis in tensor space	claim
42	42	Smoothness in Layers: Motion segmentation using nonparametric mixture estimation	claim
43	41	Photorealistic Scene Reconstruction by Voxel Coloring	claim
44	41	Characterization of errors in compositing panoramic images	claim
45	41	Identification of salient contours in cluttered images	claim
46	40	Automated Model Acquisition from Range Images with View Planning	claim
47	40	Vision for a smart kiosk	claim
48	39	Robust analysis of feature spaces: color image segmentation	claim
49	38	Deformable Multi Template Matching with Application to Portal Images	claim
50	37	Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates	claim
51	37	Panoramic mosaics by manifold projection	claim
52	36	Multi-Scale Classification of 3-D Objects	claim
53	36	Depth from Scattering	claim
54	36	Rational Discrete Generalized Cylinders and their Application to Shape Recovery in Medical Images	claim
55	35	Name-It: Association of Face and Name in Video	claim
56	35	A bootstrapping algorithm for learning linear models of object classes	claim
57	35	Using Local 3D Structure for Segmentation of Bone from Computer Tomography Images	claim
58	34	Model-based brightness constraints: on direct estimation of structure and motion	claim
59	34	Learning Generic Prior Models for Visual Computation	claim
60	33	LAFTER: Lips and Face Real-Time Tracker	claim
61	33	Uncalibrated 1D projective camera and 3D affine reconstruction of lines	claim
62	32	Are Textureless Scenes Recoverable?	claim
63	31	Motion estimation using ordinal measures	claim
64	31	FOCUS: Searching for Multi-colored Objects in a Diverse Image Database	claim
65	30	True Multi-Image Alignment and its Application to Mosaicing and Lens Distortion Correction	claim
66	30	Video Skimming and Characterization through the Combination of Image and Language Understanding Techniques	claim
67	29	Empirical Bayesian EM-based Motion Segmentation	claim
68	29	A region-level graph labeling approach to motion-based segmentation	claim
69	29	Prediction Intervals for Surface Growing Range Segmentation	claim
70	29	Completion Energies and Scale	claim
71	29	Feature Tracking from an Image Sequence Using Geometric Invariants	claim
72	29	Shape and albedo from multiple images using integrability	claim
73	28	A Stratified Approach to Metric Self-Calibration	claim
74	28	Analyzing Articulated Motion Using Expectation-Maximization	claim
75	28	Physically based fluid flow recovery from image sequences	claim
76	26	Object tracking using affine structure for point correspondences	claim
77	24	Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction	claim
78	23	The FERET Evaluation Methodology for Face-Recognition Algorithms	claim

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