Charles V. Stewart

发表

A new robust operator for computer vision: application to range data

Charles V. Stewart, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Image-guided borescope tip pose determination

Charles V. Stewart, Kenneth Morris Martin, 1998 .

Automated Model-Based Segmentation, Tracing, and Analysis of Retinal Vasculature from Digital Fundus Images

Chia-Ling Tsai, Hong Shen, Charles V. Stewart, 2003 .

Stereo matching, error detection, and surface reconstruction

Charles V. Stewart, 1991, Other Conferences.

Efficient migration of complex off-line computer vision software to real-time system implementation on generic computer hardware

Christopher D. Carothers, Charles V. Stewart, Badrinath Roysam, 2004, IEEE Transactions on Information Technology in Biomedicine.

Reducing the search time of a steady state genetic algorithm using the immigration operator

Charles V. Stewart, Robert B. Kelley, Michael C. Moed, 1991, [Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91.

Real time tracking of borescope tip pose

Ken Martin, Charles V. Stewart, Rich Hammond, 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

Physical Scale Keypoints: Matching and Registration for Combined Intensity/Range Images

Charles V. Stewart, Richard J. Radke, Eric R. Smith, 2011, International Journal of Computer Vision.

A probabilistic representation of LiDAR range data for efficient 3D object detection

Charles V. Stewart, Richard J. Radke, Theodore C. Yapo, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Real time tracking of borescope tip pose

Ken Martin, Charles V. Stewart, 2000, Image Vis. Comput..

Animal Population Censusing at Scale with Citizen Science and Photographic Identification

Tanya Y. Berger-Wolf, Charles V. Stewart, Jason Remington Parham, 2017, AAAI Spring Symposia.

Towards general-purpose image registration

Charles V. Stewart, Gehua Yang, 2007 .

Robust Computer Vision: An Interdisciplinary Challenge

Charles V. Stewart, Peter Meer, David E. Tyler, 2000, Comput. Vis. Image Underst..

Local Parallel Models For Integration Of Stereo Matching Constraints And Intrinsic Image Combination

Charles V. Stewart, 1989, Optics East.

Determining Retinal Vessel Widths and Detection of Width Changes

Charles V. Stewart, Bardrinath Roysam, Kenneth H. Fritzsche, 2009 .

A new robust operator for computer vision: theoretical analysis

Charles V. Stewart, C. Stewart, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Covariance-driven mosaic formation from sparsely-overlapping image sets with application to retinal image mosaicing

Charles V. Stewart, Gehua Yang, C. Stewart, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans

Charles V. Stewart, Michal Sofka, C. Stewart, 2010, Medical Image Anal..

Registration of Challenging Image Pairs: Initialization, Estimation, and Decision

Chia-Ling Tsai, Charles V. Stewart, Michal Sofka, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Erratum to "Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures"

Charles V. Stewart, Michal Sofka, 2007, IEEE Trans. Medical Imaging.

Registration of multiple range scans as a location recognition problem: hypothesis generation, refinement and verification

Tomasz Malisiewicz, Charles V. Stewart, Richard J. Radke, 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).

Prediction intervals for surface growing range segmentation

James V. Miller, Charles V. Stewart, C. Stewart, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

New random sampling operator for vision

Charles V. Stewart, 1993, Other Conferences.

Extracting identifying contours for African elephants and humpback whales using a learned appearance model

Charles V. Stewart, Jason Holmberg, Hendrik J. Weideman, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Teaching medical image analysis with the Insight Toolkit

George D. Stetten, Luis Ibáñez, Stephen R. Aylward, 2005, Medical Image Anal..

Covariance-driven retinal image registration initialized from small sets of landmark correspondences

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Indexing based frame-rate spatial referencing algorithms: application to laser retinal surgery

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2000 .

Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework

Charles V. Stewart, Michal Sofka, Gehua Yang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2004, IEEE Transactions on Information Technology in Biomedicine.

Recognition of plane projective symmetry

Joseph L. Mundy, Charles V. Stewart, Rupert W. Curwen, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales

Charles V. Stewart, John Calambokidis, Randall S. Wells, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2003, MICCAI.

Automatic robust image registration system: Initialization, estimation, and decision

Chia-Ling Tsai, Charles V. Stewart, Michal Sofka, 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

An Animal Detection Pipeline for Identification

Tanya Y. Berger-Wolf, Charles V. Stewart, Jonathan P. Crall, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Predictive scheduling algorithms for real-time feature extraction and spatial referencing: application to retinal image sequences

Charles V. Stewart, Badrinath Roysam, Kenneth Fritzsche, 2004, IEEE Transactions on Biomedical Engineering.

Robust hierarchical algorithm for constructing a mosaic from images of the curved human retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Data link effects on weapon accuracy

Charles V. Stewart, W. R. Lawrence, J. Ludvik Herrera Lopez, 1990, IEEE Proceedings on Southeastcon.

New Results in Automatic Focusing and a New Method for Combining Focus and Stereo

Charles V. Stewart, Hari N. Nair, 1990, Other Conferences.

Frame-Rate Spatial Referencing Based on Invariant Indexing and Alignment with Application to Online Retinal Image Registration

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

MINPRAN: A New Robust Estimator for Computer Vision

Charles V. Stewart, C. Stewart, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Extending range queries and nearest neighbors

Charles V. Stewart, Robin Y. Flatland, 2000, Comput. Geom..

Robust surface reconstruction based on local estimation and refinement: 1-D results

Charles V. Stewart, 1992, Other Conferences.

Estimating the Location of a Camera with Respect to a 3D Model

Charles V. Stewart, Jacob Becker, Gehua Yang, 2007, Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007).

A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

LiDAR inpainting from a single image

Charles V. Stewart, Richard J. Radke, Jacob Becker, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Trinocular Stereo: Theoretical Advantages and a New Algorithm

Charles V. Stewart, 1990, Other Conferences.

Bias in robust estimation caused by discontinuities and multiple structures

Charles V. Stewart, C. Stewart, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Registration of combined range-intensity scans

Charles V. Stewart, Richard J. Radke, Eric R. Smith, 2012 .

A feature-based technique for joint, linear estimation of high-order image-to-mosaic transformations: application to mosaicing the curved human retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

A Feature-Based Technique for Joint Linear Estimation of High-Order Image-to-Mosaic Transformations: Mosaicing the Curved Human Retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Local constraint integration in a connectionist model of stereo vision

Charles V. Stewart, Charles R. Dyer, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Estimating model parameters and boundaries by minimizing a joint, robust objective function

A. G. Amitha Perera, Charles V. Stewart, Kishore Bubna, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Alternative frames of participation: the east-timor newsgroup

Charles V. Stewart, Charles V. Stewart, 2008, Int. J. Electron. Bus..

Automatic scallop detection in benthic environments

Charles V. Stewart, Matthew Dawkins, Scott Gallager, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Frame-rate spatial referencing based on invariant indexing and alignment with application to laser retinal surgery

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Fast and robust registration of 3D surfaces using low curvature patches

Charles V. Stewart, Van-Duc Nguyen, Victor Nzomigni, 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

Alignment of challenging image pairs: Refinement and region growing starting from a single keypoint correspondence

Chia-Ling Tsai, Charles V. Stewart, Michal Sofka, 2005 .

Model selection and surface merging in reconstruction algorithms

Charles V. Stewart, Kishore Bubna, C. Stewart, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures

Charles V. Stewart, Michal Sofka, C. Stewart, 2006, IEEE Transactions on Medical Imaging.

Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations

Charles V. Stewart, Michal Sofka, Avi Kelman, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A View-Based Approach to Registration: Theory and Application to Vascular Image Registration

Chia-Ling Tsai, A. G. Amitha Perera, Charles V. Stewart, 2003, IPMI.

HotSpotter — Patterned species instance recognition

Tanya Y. Berger-Wolf, Charles V. Stewart, Jonathan P. Crall, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

The Trinocular General Support Algorithm: A Three-camera Stereo Algorithm For Overcoming Binocular Matching Errors

Charles V. Stewart, Charles R. Dyer, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

A Correspondence-Based Software Toolkit for Image Registration

Chia-Ling Tsai, A. G. Amitha Perera, Charles V. Stewart, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

COMPUTER VISION ALGORITHMS FOR RETINAL VESSEL WIDTH CHANGE DETECTION AND QUANTIFICATION A proposal to conduct doctoral study at Rensselaer Polytechnic Institute

Charles V. Stewart, Kenneth Fritzsche, Kenneth H. Fritzsche, 2002 .

Model Selection Techniques and Merging Rules for Range Data Segmentation Algorithms

Charles V. Stewart, Kishore Bubna, C. Stewart, 2000, Comput. Vis. Image Underst..

Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy

Charles V. Stewart, Badrinath Roysam, Harihar Narasimha-Iyer, 2006, IEEE Transactions on Biomedical Engineering.

The dual-bootstrap iterative closest point algorithm with application to retinal image registration

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2003, IEEE Transactions on Medical Imaging.

Detecting plains and Grevy's Zebras in the realworld

Charles V. Stewart, Jason Parham, 2016, 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Multiple kernel tracking with SSD

Gregory D. Hager, Charles V. Stewart, Maneesh Dewan, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Scheduling Algorithms for PIPE (Pipelined Image-Processing Engine)

Charles V. Stewart, Charles R. Dyer, C. Dyer, 1988, J. Parallel Distributed Comput..

PARALLEL SIMULATION OF A CONNECTIONIST STEREO ALGORITHM

Charles V. Stewart, Charles R. Dyer, C. Dyer, 1990 .

Robust Parameter Estimation in Computer Vision

Charles V. Stewart, C. Stewart, 1999, SIAM Rev..

Wildbook: Crowdsourcing, computer vision, and data science for conservation pdf

Tanya Y. Berger-Wolf, Charles V. Stewart, Lucas Joppa, 2017, ArXiv.

Geometric constraints and stereo disparity computation

Charles V. Stewart, Robin Y. Flatland, Kishore Bubna, 1996, International Journal of Computer Vision.

Expected performance of robust estimators near discontinuities

Charles V. Stewart, 1995, Proceedings of IEEE International Conference on Computer Vision.

Automated Retinal Image Analysis Over the Internet

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2008, IEEE Transactions on Information Technology in Biomedicine.

Range data analysis by free-space modeling and tensor voting

Charles V. Stewart, Bradford James King, 2008 .

Location Registration and Recognition (LRR) for Longitudinal Evaluation of Corresponding Regions in CT Volumes

Charles V. Stewart, Michal Sofka, 2008, MICCAI.

MUSE: robust surface fitting using unbiased scale estimates

James V. Miller, Charles V. Stewart, C. Stewart, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Parallel simulation of a connectionist stereo algorithm on a shared-memory multiprocessor

Charles V. Stewart, Charles R. Dyer, C. Dyer, 1990 .

An analysis of the probability of disparity changes in stereo matching and a new algorithm based on the analysis

Charles V. Stewart, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images

Chia-Ling Tsai, Charles V. Stewart, Ying-Lin Lee, 2004, MICCAI.

Maintaining valid topology with active contours: theory and application

Chia-Ling Tsai, A. G. Amitha Perera, Charles V. Stewart, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Registration of combined range-intensity scans: Initialization through verification

Charles V. Stewart, Richard J. Radke, Eric R. Smith, 2008, Comput. Vis. Image Underst..

Restoring semantic context: a domain-aware debugger

Charles V. Stewart, Roderic Collins, 2004 .

Computer vision algorithms for retinal vessel detection and width change detection

Charles V. Stewart, Badrinath Roysam, Kenneth H. Fritzsche, 2004 .

Optimal scheduling of tracing computations for real-time vascular landmark extraction from retinal fundus images

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2001, IEEE Transactions on Information Technology in Biomedicine.

On the derivation of geometric constraints in stereo

Charles V. Stewart, C. Stewart, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

Charles V. Stewart, C. Stewart, 2005, CVBIA.