Journals starting with usc

USC Computer Vision * *University of Southern California, Computer Vision Group
* 2D+t Tensor Voting Based Approach for Tracking, A
* 3-D Surface Description from Binocular Stereo
* 3D Descriptions of Buildings from an Oblique View Aerial Image
* 3D Structures for Generic Object Recognition
* Accurate Motion Flow Estimation with Discontinuities
* Adaptive Multiscale Feature Extraction from Range Data
* Adaptive Smoothing for Feature Extraction
* Adaptive Smoothing: A General Tool for Early Vision
* Annotated Computer Vision Bibliography
* Anything You Can Do, I Can Do Better (No You Can't)
* Automatic Building Extraction from Aerial Images
* Automatic Description of Buildings with Complex Rooftops from Multiple Images
* Automatic Description of Complex Buildings with Multiple Images
* Automatic Integration of Facade Textures into 3D Building Models with a Projective Geometry Based Line Clustering
* Automatic Registration of Color Separation Films
* B-Snakes: Implementation and Application to Stereo
* Bayesian Framework for Video Surveillance Application
* Boundary Detection in Range Pictures
* Building Detection and Description from a Single Intensity Image
* Car Detection in Low Resolution Aerial Images
* Characterization and Requirements of Computer vision Systems
* Color Edge Detector and Its Use in Scene Segmentation, A
* Color Image Segmentation Based on Tensor Voting
* Computational Framework for Segmentation and Grouping, A
* Computer Vision Research at the University of Southern California
* Computing Volume Descriptions from Sparse 3-D Data
* Constraints for Interpretation of Line Drawings under Perspective Projection
* Corner Detection and Curve Representation Using Cubic B-Splines
* Correcting Matches and Inferring Surface Patches in Passive Stereo
* Correspondence Based Motion Analysis
* Curvature-Augmented Tensor Voting for Shape Inference from Noisy 3D Data
* Describing and Segmenting Scenes from Imperfect and Incomplete Data
* Describing Natural Textures
* Description and Recognition of Curved Objects
* Description and Tracking of Moving Articulated Objects
* Description of 3-D Surfaces Using Curvature Properties
* Detecting and Tracking Moving Objects for Video Surveillance
* Detecting Buildings in Aerial Images
* Detecting Changes in Aerial Views of Man-Made Structures
* Detecting Moving Objects from a Moving Platform
* Detecting Runways in Complex Airport Scenes
* Detection and Modeling of Buildings from Multiple Aerial Images
* Detection of Buildings from Monocular Images
* Detection of Buildings from Monocular Views of Aerial Scenes Using Perceptual Grouping and Shadows
* Detection of Buildings Using Perceptual Groupings and Shadows
* Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks
* Detection, Localization, and Estimation of Edges
* Dynamic System for Object Description and Correspondence, A
* Efficient Iterative Solutions to M-View Projective Reconstruction Problem
* Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems
* Epipolar Geometry Estimation for Non-Static Scenes by 4D Tensor Voting
* Establishing Contour Correspondences from a Sequence of Images
* Evaluation of a Simplified Hueckel Edge-Line Detector
* Event Detection and Analysis from Video Streams
* Experiments in Estimation of 3-D Motion Parameters from a Sequence of Image Frames
* Fast Convolution with Laplacian-of-Gaussian Masks
* Feature-Based Monocular Motion Analysis System Guided by Feedback Information, A
* Finding Waldo, or Focus of Attention Using Local Color Information
* First Order Tensor Voting and Application to 3-D Scale Analysis
* From an Intensity Image to 3-D Segmented Descriptions
* Generalizing Over Aspect and Location for Rooftop Detection
* Generic Shape Learning and Recognition
* Globeall: Panoramic Video for an Intelligent Room
* Graph-based Global Registration for 2D Mosaics, A
* Grouping ., -, -->, 0, into Regions, Curves, and Junctions
* Hierarchial Matching Using Relaxation
* Hierarchical Decomposition and Axial Shape Description
* High Accuracy Model Matching for Scenes Containing Man-Made Structures
* How to Use more than Two Frames to Estimate Motion
* Image Segmentation
* Image Segmentation: A Comment on Studies in Global and Local Histogram-Guided Relaxation Algorithms
* Image Understanding Environment: Data Exchange, The
* Image Understanding Environment: Image Features, The
* Image Understanding Environments Program, The
* Including Interaction in an Automated Modelling System
* Indoor Navigation without a Specific Map
* Inference of Integrated Surface, Curve, and Junction Descriptions from Sparse 3D Data
* Inferring Global Perceptual Contours from Local Features
* Integrated Tensor Voting in Multiple Scales for Shape Description in 3D
* Integrating Multiple Range Images Using Triangulation
* Integration Effort in Knowledge-Based Vision Techniques for the Autonomous Land Vehicle Program
* Interactive 3D model extraction from a single image
* Interpretation of Image Sequence by Spatio-Temporal Analysis
* Issues In Parallel Tree Search for Object Recognition
* Issues in Shape Description and an Approach for Working with Sparse Data
* Knowledge Representation for Computer Vision: The VEIL Project
* Knowledge-Based Automatic Feature Extraction
* Knowledge-Based Building Detection and Description: 1997-1998
* Layered Network for Correspondence of 3-D Objects, A
* Learning, Recognition and Navigation from a Sequence of Infrared Images
* Linear Feature Extraction and Description
* Locating Structures in Aerial Images
* Machine Perception
* Matching Closed Contours
* Matching Images Using Linear Features
* Matching in 2-D and 3-D
* Matching of Natural Terrain Scenes
* Matching Regions in Aerial Images
* Model Registration and Validation
* Model Validation for Change Detection
* Model Validation for Change Detection
* Model-Based Aircraft Recognition in Perspective Aerial Imagery
* Model-Based Approach for Multi-View Complex Building Description, A
* Modeling 3-D Complex Buildings With User Assistance
* Modular Software Architecture for Real-Time Video Processing, A
* Motion Estimation Using More Than Two Images
* Motion Estimation Using Multiple Frames, Simple Cases: Rotation and Translation
* Motion Estimation With More Than Two Frames
* Motion Estimation: The Proper Formulation for when 3 or 4 Frames Are Available
* Motion Problem: A Decomposition-Based Solution, The
* Motion Problem: How to Use More Than Two Frames, The
* Multi-Agent Event Recognition
* Multi-Frame Feature-Based Motion Analysis
* Multi-Scale Contour Matching in a Motion Sequence
* Multiple Frame Analysis of Translation Dominant Motion
* Multisensor Integration for Building Modeling
* MURI Project for Rapid Feature Extraction in Urban Areas, The
* N-Dimensional Tensor Voting and Application to Epipolar Geometry Estimation
* Note on Using the Fractal Dimension for Segmentation, A
* Object Modeling by Registration of Multiple Range Images
* Object Recognition Using Geometric Hashing on the Connection Machine
* Obtaining 3-D from Shadows in Aerial Images
* Parallel Linear Feature Extraction
* Parallel Multiscale Stereo Matching Using Adaptive Smoothing
* Parallel Processing for Spatial Grouping and Matching
* Part-Based 3D Descriptions of Complex Objects from a Single Image
* Perception of 3-D Shape from 2-D Image of Contours
* Perception of 3-D Surfaces from 2-D Contours
* Perceptual Grouping for Generic Recognition
* Perceptual Grouping Using Global Saliency-Enhancing Operators
* Perceptual Organization for Scene Segmentation and Description
* Pose Estimation of Multi-Part Curved Objects
* Recent Advances in Detection and Description of Buildings from Multiple Images
* Recognition and Localization of Generic Objects for Indoor Navigation Using Functionality
* Recognition of 3-D Objects from 2-D Groupings
* Recognizing 3-D Objects Using Surface Descriptions
* Recovering Building Structures from Stereo
* Recovering LSHGCs and SHGCs from Stereo
* Recovery of 3-D Objects with Multiple Curved Surfaces from 2-D Contours
* Recovery of Three-Dimensional Shape of Curved Objects from a Single Image
* Refining Edges Detected by a LoG Operator
* Registar Machine: From Conception to Installation, The
* Relaxation Matching Applied to Aerial Images
* Relaxation Matching Techniques - A Comparison
* Representation and Computation of the Spatial Environment for Indoor Navigation
* Representation and Optimal Recognition of Human Activities
* Representing Motion Using Chronogeneous Transformations
* Results of Motion Estimation with More Than Two Frames
* Road Grid Extraction and Verification
* Robot Hand-Eye Coordination: Shape Description and Grasping
* Robust Estimation of 3-D Motion Parameters from a Sequence of Image Frames Using Regularization
* Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
* Scenario Recognition in Airborne Video Imagery
* Segment-Based Stereo Matching
* Segmentation
* Segmentation and 3-D Recovery of Curved-Axis Generalized Cylinders from an Intensity Image
* Segmentation and Tracking of Multiple Humans in Complex Situations
* Segmentation of Images Into Regions Using Edge Information
* Segmentation Using Scene Models
* Segmentation, Tracking and Interpretation using Panoramic Video
* Segmented Description of 3-D Surfaces
* Semantic Description of Aerial Images Using Stochastic Labeling
* Shape Description from Sparse and Imperfect Data
* Shape From Contour: Straight Homogeneous Generalized Cylinders and Constant Cross-Section Generalized Cylinders
* Stereo Error Detection, Correction, and Evaluation
* Structural Analysis of Natural Textures
* Structural Description of Natural Textures
* Structural Hashing: Efficient Three Dimensional Object Recognition
* Structural Indexing: Efficient Two Dimensional Object Recognition
* Structural Texture Analysis Applications
* Structure and Motion from a Sparse Set of Views
* Structure and Motion from Uniform 3D Acceleration
* Structure from Chronogeneous Motion
* Structure from Chronogeneous Motion: A Summary
* Surface Description from Binocular Stereo
* Surveillance and Monitoring Using Video Images from a UAV
* Symbolic Matching and Analysis with Substantial Changes in Orientation
* Symbolic Matching of Images and Scene Models
* Symbolic Representation: USC IU System
* System for Building Detection from Aerial Images, A
* Temporal Sequence Analysis Using Temporal Slices
* Texture Energy Measures
* Textured Image Segmentation
* Three-Dimensional Descriptions Based on the Analysis of the Invariant and Quasi-Invariant Properties of Some Curved-Axis Generalized Cylinders
* Three-Dimensional Part-Based Descriptions from a Real Intensity Image
* Tracking Segmented Objects using Tensor Voting
* Uncertain Reasoning and Learning for Feature Grouping
* Urban Street Grid Description and Verification
* USC Image Understanding Research: 1988-89
* USC Image Understanding Research: 1992-1993
* USC Image Understanding Research: 1993-1994
* USC Image Understanding Research: 1994-1995
* USC RADIUS Related Research: An Overview
* Use of Cues from Range Data for Automatic Building Modeling
* Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System
* User Assisted Modeling of Buildings from Aerial Images
* Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study
* Using Perceptual Organization to Extract 3-D Structures
* Using Shadows in the Interpretation of Aerial Images
* Using the Spatio-Temporal Volume for Motion Segmentation
* VEIL: Combining Semantic Knowledge with Image Understanding
* Versatile PC-Based Range Finding System, A
* Visual Inspection Using Linear Features
* Volumetric Description of Dip Solder Joints from Range Data
* Volumetric Descriptions from a Single Intensity Image
* Volumetric Stereo Matching Method: Application to Image-Based Modeling, A
207 for USC Computer Vision

USC * *University of Southern California, Institute for Robotics and Intelligent Systems
* Matching Linear Features of Images and Maps
* Quantitative Methods of Edge Detection

USC_IRIS * *University of Southern California, Institute for Robotics and Intelligent Systems
* Accurate Edge Detection for Multiple Scale Processing
* Correspondence Based Motion Analysis
* Describing and Recognizing 3-D Objects Using Surface Properties
* Dynamic System for Object Description and Correspondence, A
* Establishing Contour Correspondences from a Sequence of Images
* Motion Problem: How to Use More Than Two Frames, The
* Perception of 3-D Shape from 2-D Image of Contours
* Perceptual Organization for Computer Vision
* Shape Description from Sparse and Imperfect Data
* Specifying Parallel Processor Architectures for High-Level Computer Vision Algorithms
* Structure from Chronogeneous Motion
* Surface Description from Binocular Stereo
* Temporal Sequence Analysis Using Temporal Slices
* Using the Spatio-Temporal Volume for Motion Segmentation
15 for USC_IRIS

USC_ISG * *University of Southern California, Institute for Robotics and Intelligent Systems
* Classification of Edges for Object Detection in Aerial Images
* Edge Based System for Detecting Buildings in Aerial Images, An
* Implementation of a Multiresolution Surface Reconstruction Algorithm
* Segmentation Using Scene Models
* Structural Analysis of Natural Textures
* Textured Image Segmentation
* Using Shadows in the Interpretation of Aerial Images
8 for USC_ISG

USC_SIPI * *University of Southern California, Signal and Image Processing
* Robust Algorithm for Inferring Shape from a Single Image, A

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Last update:21-Apr-14 12:12:00
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