Computer Vision Systems, by Name

Various names have been used for computer vision systems. This lists some of the more famous systems. (You may want to see the Source Code Listing or the the Vendor Listing for implementations or companies that will provide a finished product.)


Systems Referenced by Name

For more information on the topics, contact information, etc. see the annotated Computer Vision Bibliography or the Complete Conference Listing for Computer Vision and Image Analysis

System: ACRONYM
      * ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)
      * Model-Based Interpretation of Range Imagery

System: ALVINN
      * CMU Road Followers -- ALVINN YARF MANIAC (H3)
      * Neural Network Perception for Mobile Robot Guidance
      * Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System

System: AMBLER
      * AMBLER: An Autonomous Rover for Planetary Exploration

System: APPLY
      * Architecture Independent Programming Language for Low-Level Vision, An

System: BABE
      * Incorporating Vanishing-Point Geometry in Building Extraction Techniques

System: Codger
      * June 1987 Annual Report: Development of an Integrated Mobile Robot System at Carnegie Mellon

System: Condor
      * Context-Based Vision: Recognizing Objects Using Information from Both 2-D and 3-D Imagery
      * Employing Contextual Information in Computer Vision
      * Natural Object Recognition

System: CVS
      * Context-Based Vision: Recognition of Natural Scenes

System: ENVI
      * *ITT Visual Information Solutions

System: GEOMETER
      * Constraint-Based Modeling

System: Gipsy
      * *Groningen Image Processing System, GIPSY
      * Gipsy: General Image Processing System

System: IDECS
      * Image Discrimination Enhancement Combination System

System: IGS
      * IGS: A Paradigm for Integrating Image Segmentation and Interpretation

System: IUA
      * Hardware -- Image Understanding Architecture, IUA (H2)
      * Image Understanding Architecture, The
      * Overview of Architecture Research for Image Understanding at the University of Massachusetts, An

System: KBVision
      * Image Understanding Tools

System: Khoros
      * Khoros Software Development Environment for Image and Signal Processing, The

System: MANIAC
      * MANIAC: A Next Generation Neurally Based Autonomous Road Follower

System: Mapsee
      * Knowledge Structuring and Constraint Satisfaction: The Mapsee Approach
      * Logic of Depiction, The

System: MSYS
      * MSYS: A System for Reasoning about Scenes

System: NAVLAB
      * *Vision and Navigation, the Carnegie Mellon NAVLAB
      * Carnegie Mellon NAVLAB, AMBLER, etc. (H3)

System: NGS
      * June 1987 Annual Report: Development of an Integrated Mobile Robot System at Carnegie Mellon

System: Phoenix
      * Phoenix Image Segmentation System: Description and Evaluation, The
      * Recursive Region Segmentation by Analysis of Histograms

System: Poly
      * Interpreting Pictures of Polyhedral Scenes

System: SEE
      * Computer Recognition of Three-Dimensional Objects in a Visual Scene

System: SIGMA
      * Expert Systems for Image Processing: Knowledge-Based Composition of Image Analysis Processes
      * Sigma Image Understanding System, The
      * SIGMA: A Knowledge-Based Aerial Image Understanding System

System: SLAM
      * General Learning Algorithm for Robot Vision

System: Spider
      * Design and Implementation of SPIDER: A Transportable Image Processing Software Package

System: Successor
      * *CVonline: Model-based vision
      * ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)

System: VISIONS
      * Complete Systems Derived from the Univ. Massachusetts Work (H2)
      * University of Massachusetts VISIONS System (H2)
      * Segmentation of Natural Scenes
      * Use of an Evidential Based Model for Representing Knowledge and Reasoning about Images in the VISIONS System, The
      * VISIONS: A computer System for Interpreting Scenes

System: Vista
      * Vista: A Software Environment for Computer Vision Research

System: YARF
      * Combining Artificial Neural Networks and Symbolic Processing for Autonomous Robot Guidance

Systems
      * GIS: Systems Implementation and Design (H2)

Systems, Survey
      * Image Understanding Environments

For more information on the topics, contact information, etc. see the annotated Computer Vision Bibliography or the Complete Conference Listing for Computer Vision and Image Analysis