Christopher M. Brown

Jeff G. Schneider, Christopher M. Brown, 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

A Versatile Computer-Controlled Assembly System

Harry G. Barrow, Rod M. Burstall, Ann Patricia Fothergill, 1973, IJCAI.

Inherent Bias and Noise in the Hough Transform

Christopher M. Brown, 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Optimal Selection of Camera Parameters for State Estimation of Static Systems: An Information Theoretic Approach

Joachim Denzler, Christopher M. Brown, Joachim Denzler, 2000 .

Advanced Hough Transform Implementations

Christopher M. Brown, David B. Sher, Matthew B. Curtiss, 1983, IJCAI.

Epifluorescence light collection for multiphoton microscopic endoscopy

Chris Xu, Christopher M. Brown, Watt W. Webb, 2011, BiOS.

Image transform bootstrapping and its applications to semantic scene classification

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Task-specific utility in a general Bayes net vision system

Christopher M. Brown, Raymond D. Rimey, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

An iterative improvement algorithm for coherent codes

Christopher M. Brown, 1980 .

Segmentation and Background Elimination with a Multi-Flash Camera

Randal C. Nelson, Christopher M. Brown, 2005 .

A Fully Projective Formulation for Lowe's Tracking Algorithm

Helder Araujo, Christopher M. Brown, Rodrigo L. Carceroni, 1996 .

A Programming Environment for Parallel Vision Algorithms.

Christopher M. Brown, C. Brown, 1987 .

Task-oriented vision with multiple Bayes nets

Christopher M. Brown, Raymond D. Rimey, R. Rimey, 1993 .

Real-time pose estimation and control for convoying applications

Christopher M. Brown, Rodrigo L. Carceroni, Christopher K. Eveland, 1997, Block Island Workshop on Vision and Control.

Real-Time Recognition and Visual Control: Image Understanding Research at Rochester

Randal C. Nelson, Christopher M. Brown, R. Nelson, 1996 .

Computer Science and Engineering Research Review 1984-1985

Lokendra Shastri, Jerome A. Feldman, Thomas J. LeBlanc, 1985 .

Advances in computer vision

Christopher M. Brown, 1987 .

Parallel genetic algorithms on distributed-memory architectures

Christopher M. Brown, R. Bianchini, R. Bianchini, 1993 .

Northeast Artificial Intelligence Consortium (NAIC). Volume 13. Image Understanding and Intelligent Parallel Systems

Christopher M. Brown, 1990 .

Multi-label Semantic Scene Classfication

Jiebo Luo, Xipeng Shen, Christopher M. Brown, 2003 .

Combining Distributed Populations and Periodic Centralized Selections in Coarse-Grain Parallel Genetic Algorithms

Wagner Meira, Christopher M. Brown, R. Bianchini, 1995, ICANNGA.

Computer Science and Engineering Research Review 1982-1983

Dana H. Ballard, Christopher M. Brown, Gary L. Peterson, 1983 .

Gaze Behaviors for Robotics

Christopher M. Brown, C. Brown, 1992 .

Adaptable Planner Primitives for Real-World Robotic Applications

Christopher M. Brown, Robert W. Wisniewski, 1995, IJCAI.

Goal-Oriented Dynamic Vision

Christopher M. Brown, Raymond D. Rimey, Peter von Kaenel, 1993 .

Progressive Livewire for Automatic Contour Extraction

Christopher M. Brown, Steven Marx, S. Marx, 2004 .

Texture, contour, shape, and motion

Anup Basu, Yiannis Aloimonos, Christopher M. Brown, 1987, Pattern Recognit. Lett..

Analysis and Restoration of Daguerreotypes Using Cluster Computing

Ralph Wiegandt, Paul A. Ardis, Randal C. Nelson, 2010 .

A multilevel Bayesian network approach to image sensor fusion

Jiebo Luo, Amit Singhal, Christopher M. Brown, 2000, Proceedings of the Third International Conference on Information Fusion.

Laser induced fluorescence as a diagnostic tool integrated into a scanning fiber endoscope for mouse imaging

Eric J. Seibel, Christopher M. Brown, Lillian Maggio-Price, 2007, SPIE BiOS.

Computer Science and Engineering Research Review 1981-1982

Christopher M. Brown, Kenneth R. Sloan, Carla Ellis, 1982 .

Tutorial: Fitting Mathematical Models to Data

Randal C. Nelson, Christopher M. Brown, R. Nelson, 2010 .

Sequences, structure, and active vision

Christopher M. Brown, Raymond D. Rimey, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Inverse Kinematics and Gaze Stabilization for the Rochester Robot Head

Christopher M. Brown, John Soong, J. Soong, 1991 .

Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation

Joachim Denzler, Christopher M. Brown, Joachim Denzler, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Forming Models Of Plane-And-Cylinder Faceled Bodies From Light Stripes

Ann Patricia Fothergill, Christopher M. Brown, Robin J. Popplestone, 1975, IJCAI.

Computer Science and Engineering Research Review 1991-1992

Lenhart K. Schubert, Kevin J. Parker, Theophano Mitsa, 1992 .

The theory and practice of Bayesian image labeling

Christopher M. Brown, Paul B. Chou, C. Brown, 1990, International Journal of Computer Vision.

Some Mathematical and Representational Aspects of Solid Modeling

Christopher M. Brown, Christopherm . Brown, 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Operating System Support for Animate Vision

Michael L. Scott, Thomas J. LeBlanc, Brian D. Marsh, 1992, J. Parallel Distributed Comput..

Using Semantic Features for Scene Classification: how Good do they Need to Be?

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Robot skill learning, basis functions, and control regimes

Jeff G. Schneider, Christopher M. Brown, J. Schneider, 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

Mobile Robotics 1997

Jessica D. Bayliss, Amit Singhal, Christopher M. Brown, 1997 .

Gaze controls cooperating through prediction

Christopher M. Brown, C. Brown, 1990, Image Vis. Comput..

DARPA Parallel Architecture Benchmark Study

Robert J. Fowler, Lawrence A. Crowl, Thomas J. LeBlanc, 1986 .

A generalized temporal context model for classifying image collections

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2005, Multimedia Systems.

Computer Science and Engineering Research Review 1990-1991

Evangelos P. Markatos, Michael J. Swain, Dana H. Ballard, 1991 .

Parallel processing in the DARPA strategic computing vision program

John R. Kender, Tomaso A. Poggio, Charles C. Weems, 1991, IEEE Expert.

Automatic Assembly with the Edinburgh Arm-Eye System

A. P. Ambler, Christopher M. Brown, R. J. Popplestone, 1975 .

Geometric Modelling Systems for mechanical design and manufacturing

Aristides A. G. Requicha, Christopher M. Brown, Herbert B. Voelcker, 1978, ACM '78.

Real-time smooth pursuit tracking

Christopher M. Brown, David Coombs, John Soong, 1993 .

Selective Attention as Sequential Behavior: Modeling Eye Movements with an Augmented Hidden Markov Model

Christopher M. Brown, Raymond D. Rimey, R. Rimey, 1990 .

Factor Graphs for Region-based Whole-scene Classification

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Probabilistic Information Fusion for Multi-Modal Image Segmentation

Christopher M. Brown, Paul B. Chou, 1987, IJCAI.

Notes on Control with Delay

Christopher M. Brown, David Coombs, D. Coombs, 1991 .

The Rochester Robot

Dana H. Ballard, Christopher M. Brown, Thomas J. Olson, 1988 .

Uncalibrated Obstacle Identification Using Affine Structure From Motion

Bo Hu, Christopher M. Brown, Peter Barnum, 2003 .

Model-Driven Vision Using Procedure Description

Keith A. Lantz, Dana H. Ballard, Christopher M. Brown, 1978 .

Model-Driven Vision Using Procedure Description: Motivation And Application To Photointerpretation And Medical Diagnosis

Keith A. Lantz, Dana H. Ballard, Christopher M. Brown, 1979, Optics & Photonics.

Design and Evaluation of a System for Vision-Based Vehicle Convoying

Christopher M. Brown, Rodrigo L. Carceroni, Christopher K. Eveland, 1998 .

Self-Similarity Inpainting

Paul A. Ardis, Christopher M. Brown, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Digital analysis and restoration of Daguerreotypes

Ralph Wiegandt, Paul A. Ardis, Randal C. Nelson, 2010, Electronic Imaging.

Hierarchical Cache Accumulators for Sequential Mode Estimation

Christopher M. Brown, 1983 .

Multilabel machine learning and its application to semantic scene classification

Jiebo Luo, Xipeng Shen, Christopher M. Brown, 2003, IS&T/SPIE Electronic Imaging.

Interactive Augmented Reality

Christopher M. Brown, James R. Vallino, J. Vallino, 1998 .

Toward Designing A Shadow Perception Experiment

Bo Hu, Christopher M. Brown, 2003 .

Acquiring an Environment Map through Image Mosaicking

Bo Hu, Christopher M. Brown, A. Choi, 2001 .

Using image-transform-based bootstrapping to improve scene classification

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2003, IS&T/SPIE Electronic Imaging.

Rochester Connectionist Papers: 1979-1984. Revision

Jerome A. Feldman, Dana H. Ballard, Christopher M. Brown, 1984 .

Image understanding at the University of Rochester

Randal C. Nelson, Christopher M. Brown, R. Nelson, 1989 .

Algorithms and hardware for efficient image smoothing

Anup Basu, Christopher M. Brown, 1987, Comput. Vis. Graph. Image Process..

Controlling eye movements with hidden Markov models

Christopher M. Brown, Raymond D. Rimey, 2004, International Journal of Computer Vision.

Depth-from-trajectories for uncalibrated multiview video

Paul A. Ardis, Amit Singhal, Christopher M. Brown, 2009, Electronic Imaging.

Northeast Artificial Intelligence Consortium Annual Report - 1988 Parallel Vision. Volume 9

Randal C. Nelson, Christopher M. Brown, R. Nelson, 1989 .

Haptics in augmented reality

Christopher M. Brown, James R. Vallino, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Projectively invariant representations using implicit algebraic curves

David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, 1991, Image Vis. Comput..

Boundary Conditions in Multiple Intrinsic Images

Dana H. Ballard, Christopher M. Brown, Bernhard H. Stuth, 1983, IJCAI.

Adaptive Scheduling Mechanisms for SPARTAs

Christopher M. Brown, Robert W. Wisniewski, 1996 .

Inpainting quality assessment

Paul A. Ardis, Amit Singhal, Christopher M. Brown, 2010, J. Electronic Imaging.

Projectively invariant representations using implicit algebraic curves

David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, 1990, Image Vis. Comput..

Interactive indoor scene reconstruction from image mosaics using cuboid structure

Bo Hu, Christopher M. Brown, 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

An Approach to Knowledge-Directed Image Analysis

Dana H. Ballard, Christopher M. Brown, Jay M. Feldman, 1977, IJCAI.

Task level training signals for learning controllers

Jeff Schneider, Christopher M. Brown, 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

Linked Epipolar Geometry for Teleconferencing

Christopher M. Brown, Stephen Li, Tanveer Mahmood, 2002 .

A Versatile System for Computer-Controlled Assembly

Harry G. Barrow, Rod M. Burstall, Ann Patricia Fothergill, 1975, Artif. Intell..

Large-Scale Parallel Programming: Experience with the BBN Butterfly Parallel Processor

Michael L. Scott, Thomas J. LeBlanc, Christopher M. Brown, 1988, PPOPP/PPEALS.

Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition

Joachim Denzler, Heinrich Niemann, Christopher M. Brown, 2001, DAGM-Symposium.

Intelligent gaze control in binocular vision

Christopher M. Brown, David Coombs, Christopher R. Brown, 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

Multiplex imaging and random arrays

Christopher M. Brown, 1972 .

Decoupling Orientation Recovery from Position Recovery with 3D-2D Point Correspondences

Christopher M. Brown, Rodrigo L. Carceroni, 2004, Journal of Mathematical Imaging and Vision.

Maximizing inpainting efficiency without sacrificing quality

Paul A. Ardis, Christopher M. Brown, 2010, Electronic Imaging.

Invariance-a new framework for vision

David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, 1990, [1990] Proceedings Third International Conference on Computer Vision.

Improved semantic region labeling based on scene context

Jiebo Luo, Christopher M. Brown, Matthew R. Boutell, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Computer Vision

Dana H. Ballard, Christopher M. Brown, Christopher M. Brown, 1982 .

Learning Spatial Configuration Models Using Modified Dirichlet Priors

Christopher M. Brown, Jiebo Luo, M. Boutell, 2004 .

Scene Parsing Using Region-Based

Christopher M. Brown, Jiebo Luo, M. Boutell, 2007 .

Intelligent Gaze Control

Christopher M. Brown, D. Coombs, 2004 .

Promising Directions in Active Vision Eye-hand Coordination Sensors on a Manipulator Can Augment Vision with Integration with Robot Architectures Active Vision Research Should Be Con

Minoru Asada, John K. Tsotsos, Narendra Ahuja, 2007 .

Numerical evaluation of differential and semi-differential invariants

Christopher M. Brown, 1992 .

The Geometry of Point Light Source from Shadows

Randal C. Nelson, Christopher M. Brown, R. Nelson, 2004 .

Multiplex imaging with multiple-pinhole cameras

Christopher M. Brown, 1974 .

Tutorial on Filtering, Restoration, and State Estimation

Christopher M. Brown, C. Brown, 1995 .

Numerical Methods for Model-Based Pose Recovery

Christopher M. Brown, Rodrigo L. Carceroni, R. Carceroni, 1997 .

Bias and Noise in the Hough Transform I. Theory

Christopher M. Brown, 1982 .

Prediction in Gaze and Saccade Control

Christopher M. Brown, C. Brown, 1989 .

Constraint interaction in shape-from-shading algorithms

Dana H. Ballard, Christopher M. Brown, O. A. Kimball, 1983 .

Exploring the Practical Limits of Optical Flow

Christopher M. Brown, Peter Barnum, Bo Hu, 2003 .

Bayesian evidence combination for region labeling

Amit Singhal, Christopher M. Brown, 2001 .

Cast shadows in augmented reality systems

Christopher M. Brown, Bo Hu, 2005 .

+ , 37 , I MODEL-DRIVEN VISION USING PROCEDURE DESCRIPTION

Christopher M. Brown, D. Ballard, K. Lantz, 2011 .

Understanding Natural Texture

Jerome A. Feldman, Christopher M. Brown, Joseph Maleson, 1977 .

Rapid Prototyping of Parallel Robot Vision Systems Using Virtual Reality and Systems Simulation

Christopher M. Brown, D. Ballard, R. Nelson, 1999 .

Real-time binocular smooth pursuit

Christopher M. Brown, David Coombs, Christopher Brown, 1993, International Journal of Computer Vision.

Real-time smooth pursuit tracking for a moving binocular robot

Christopher M. Brown, David Coombs, Christopher Brown, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.