Binford, M.[Michael]
Co Author Listing * Georeferencing oblique PhenoCam imagery
Binford, T.O.[Thomas O.]
Co Author Listing * Home Page.
* email: Binford, T.O.[Thomas O.]: tob AT read-ink com
* ACRONYM Model-Based Vision System, The
* Bayesian Inference in Model-Based Machine Vision
* Body-centered representation and perception
* BUILDER-I: A System for the Extraction of SHGC Objects in an Edge Image
* Color Algorithms for a General Vision System
* Color Metric for Computer Vision, A
* Computer Description of Curved Objects
* Context and Quasi-Invariants in ATR with SAR Imagery
* Context and Quasi-Invarinats in ATR with SAR Imagery
* Corner Finder for Visual Feedback, A
* Curved Surface Reconstruction using Stereo Correspondence
* Depth from Edge and Intensity Based Stereo
* Description and Recognition of Curved Objects
* Detection, Estimation and Aggregation of Three Major Types of Discontinuities in Image Surfaces
* Dialogue: Ignorance, Myopia, and Naivete in Computer Vision Systems
* Display Generated by a Generalized Cone Representation
* Edge Detection: Modeling, Estimation, and Aggregation
* Evidential reasoning for object recognition
* Example of 3-D Interpretation of Images Using Bayesian Networks, An
* Finding and Recovering SHGC Objects in an Edge Image
* Generalizing Over Aspect and Location for Rooftop Detection
* Generic Model-Based Edge Estimation in the Image Surface
* Generic Models for Robot Navigation
* Generic, Model-Based Estimation and Detection of Discontinuities in Image Surfaces
* Generic, Model-Based Estimation and Detection of Peaks in Image Surfaces
* Geometric Constraints in Stereo Vision
* Geometric Reasoning in Acronym
* Image Segmentation Using Geometric and Physical Constraints
* Image Understanding Environments Program, The
* Image Understanding via Geometric Models
* Improving Rooftop Detection with Interactive Visual learning
* Inferring Surfaces from Images
* Intensity Discontinuity Location to Subpixel Precision
* Interpretation of Geometric Structure from Image Boundaries, The
* Interpretation of Three-Dimensional Structure from Image Curves, The
* Interpretive Vision
* IUE Data Exchange: Status and Experiments
* Learning Object Models From Visual Observation and Background Knowledge
* Learning Physical Descriptions from Functional Definitions, Examples, and Precedents
* Learning Physical Descriptions from Functional Descriptions
* Learning to Detect Rooftops in Aerial Images
* Line Finding with Subpixel Precision
* Local Shape from Specularity
* Local Step Edge Estimation: A New Algorithm, Statistical Model and Performance Evaluation
* Method and apparatus for detection of drowsiness
* mobile robot: Sensing, planning and locomotion, A
* Model Based Vision System, A
* Model-Based Edgel Aggregation
* Model-Based Recognition of Objects in Complex Scenes
* MR susceptibility misregistration correction
* Object Representation for Object Recognition
* On Boundary Detection
* On Detecting Edges
* On Finding the Ends of SHGCs in an Edge Image
* Perceptual Organization as a Basis for Visual Recognition
* Perceptual Organization of Visual Images: Segmentation as a Basis for Recognition, The
* Predicting Material Classes
* Predicting Specular Features
* Probabilistic Learning of Three-Dimensional Object Models
* Probabilities for Bayesian Networks in Vision
* Probability-Based Control for Computer Vision
* Progress in Stereo Mapping
* Progress Report on a Model Based Vision System
* Project Summary: Context and Quasi-Invariants in ATR
* Quasi-Invariants: Theory and Exploitation
* Reasoning in Time and Space
* Recovery of Three-Dimensional Structure from Image Curves, The
* Representation and Description of Curved Objects
* Representing and Reasoning about Partially Specified Scenes
* Role and Use of Color in a General Vision System, The
* Segmentation and Aggregation: An Approach to Figure-Ground Phenomena
* Spatial Representation
* Spatial Understanding: The Successor System
* Stereo Correspondence: A Hierarchial Approach
* Stereo Correspondence: Features And Constraints
* Stereo Matching Using Viterbi Algorithm
* Stereo Modeling System: A Geometric Modeling System for Modeling Object Instance and Class
* Stereo Vision and Navigation in Buildings for Mobile Robots
* Stereo Vision: Complexity and Constraints
* Structural Correspondence in Stereo Vision
* Structured Description of Complex Objects
* SUCCESSOR: Interpretation Overview and Constraint System
* Survey of Array Processors
* Survey of Model-Based Image Analysis Systems
* Survey of Parallel Computers
* System for Automated Stereo Mapping, A
* Texture Segmentation of SAR Images
* Theory of Line Drawing Interpretation, A
* Visual Perception by Computer
Includes: Binford, T.O.[Thomas O.] Binford, T.O.
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