Tony P. Pridmore

发表

Exploiting image-plane data in the interpretation of edge-based binocular disparity

Tony P. Pridmore, John E. W. Mayhew, John P. Frisby, 1990, Comput. Vis. Graph. Image Process..

A patch-based approach to 3D plant shoot phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2016, Machine Vision and Applications.

Semi-automatic extraction and vectorisation of multicoloured cartographic objects

Sergey Ablameyko, Tony P. Pridmore, V. Bucha, 2005 .

Interpreting Aerial Images: A Knowledge-Level Analysis

Tony P. Pridmore, A. Darwish, Dave Elliman, 2002 .

Three-dimensional reconstruction of plant shoots from multiple images using an active vision system

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2020 .

A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking

Tony P. Pridmore, Michel F. Valstar, Muhammad Haris Khan, 2014, 2014 22nd International Conference on Pattern Recognition.

Segmentation and description of binocularly viewed contours

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1987, Image Vis. Comput..

Knowledge-Directed Interpretation of Engineering Drawings

Sergey Ablameyko, Tony P. Pridmore, 2000 .

TINA: a 3D vision system for pick and place

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1988, Image Vis. Comput..

Managing Particle Spread via Hybrid Particle Filter/Kernel Mean Shift Tracking

Tony P. Pridmore, Steven Mills, Asad Naeem, 2007, BMVC.

The spatial character of sensor technology

Tony P. Pridmore, Steve Benford, Stuart Reeves, 2006, DIS '06.

Atlas-guided Histology Reconstruction of Mouse Brain

Tony P. Pridmore, Alain Pitiot, Xi Qiu, 2011, MIUA.

Proceedings of the British Machine Vision Conference 1999, BMVC 1999, Nottingham, UK, 13-16 September 1999

Tony P. Pridmore, David G. Elliman, 1999, BMVC.

Deep Learning for Multitask Plant Phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2017 .

A vision guided robot for tracking a live, loosely constrained pig

R. D. Tillett, Tony P. Pridmore, A. R. Frost, 2004 .

Adaptive Tracking via Multiple Appearance Models and Multiple Linear Searches

Tony P. Pridmore, Tuan Nguyen, 2015, VISAPP.

Recognising Cartographic Objects

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2016, bioRxiv.

Deep Hourglass for Brain Tumor Segmentation

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2018, BrainLes@MICCAI.

Smooth 3-D Reconstruction for 2-D Histological Images

Tony P. Pridmore, Alain Pitiot, Amalia Cifor, 2009, IPMI.

Object and event recognition for stroke rehabilitation

Tony P. Pridmore, Ahmed Ghali, Andrew S. Cunningham, 2003, Visual Communications and Image Processing.

Reflective photometric stereo

Tony P. Pridmore, R. J. Draper, 1997 .

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN

Tony P. Pridmore, Andrew P. French, Feng Chen, 2018, BMVC.

Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder Networks

Tony P. Pridmore, Michael P. Pound, Mohammadreza Soltaninejad, 2019, bioRxiv.

Interpreting Line Drawing Images: A Knowledge Level Perspective

Tony P. Pridmore, Dave Elliman, Ahmed Darwish, 2001, GREC.

Assessment of a camera pose algorithm using images of brick sewers

Tony P. Pridmore, D. Cooper, N. Taylor, 2001 .

Visually-tracked Flashlights as Interaction Devices

Tony P. Pridmore, Jonathan Green, Steve Benford, 2003, INTERACT.

Fast Arabic Glyph Recognizer based on Haar Cascade Classifiers

Tony P. Pridmore, Mahmoud I. Khalil, Colin Higgins, 2014, ICPRAM.

Detection and Classification of Sewer Pipe Junctions Using Reflective Photometric Stereo

Tony P. Pridmore, Neil Taylor, Simon Broadhurst, 2000, MVA.

Deep Learning for Multi-task Plant Phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2017, bioRxiv.

An improved Hough transform voting scheme utilizing surround suppression

Tony P. Pridmore, Xufang Zhang, Siyu Guo, 2009, Pattern Recognit. Lett..

The experience of using Digital Replay System for social science research

Tony P. Pridmore, Tom Rodden, Paul Tennent, 2008 .

Machine Interpretation of Line Drawing Images

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Analysis of Connected Components

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Current Issues and Future Developments

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Thresholding Images of Line Drawings with Hysteresis

Tony P. Pridmore, T. Pridmore, 2001, GREC.

Eye-balls: juggling with the virtual

Tony P. Pridmore, Joe Marshall, Steve Benford, 2007, C&C '07.

Building a multi-modal Arabic corpus (MMAC)

Tony P. Pridmore, Mahmoud I. Khalil, Colin Higgins, 2010, International Journal on Document Analysis and Recognition (IJDAR).

Deception and magic in collaborative interaction

Tony P. Pridmore, Joe Marshall, Steve Benford, 2010, CHI.

AUTOMATIC VISUAL DETECTION OF LATERAL JUNCTIONS IN SEWERS.

Tony P. Pridmore, N. Taylor, S Fu, 1998 .

Condensation tracking through a Hough space

Tony P. Pridmore, Steven Mills, Andrew P. French, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures

Tony P. Pridmore, Michael P. Pound, Darren M. Wells, 2019, bioRxiv.

Pressing the Flesh: Sensing Multiple Touch and Finger Pressure on Arbitrary Surfaces

Tony P. Pridmore, Joe Marshall, Steve Benford, 2009, Pervasive.

Concentration profiles in a gravity chute conveyor by optical tomography measurement

Tony P. Pridmore, F. J. Dickin, R. G. Green, 1998 .

British Machine Vision Conference 1999

Tony P. Pridmore, T. Pridmore, 2002, Image Vis. Comput..

Tissue-level segmentation and tracking of cells in growing plant roots

Tony P. Pridmore, Andrew P. French, Darren M. Wells, 2012, Machine Vision and Applications.

Geometrical Modeling from Multiple Stereo Views

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1989, Int. J. Robotics Res..

Document Image Acquisition

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Arabic character recognition using a Haar cascade classifier approach (HCC)

Tony P. Pridmore, Mahmoud I. Khalil, Colin Higgins, 2016, Pattern Analysis and Applications.

The effect of depth context in the segmentation of the colon in MRI volumes

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2020, medRxiv.

TINA: A 3D Vision System for Pick and Place

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1987, Alvey Vision Conference.

Components of a Line Drawing Interpretation System

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Automatic Components of Integrated CCTV Surveillance Systems: Functionality, Accuracy and Confidence

Tony P. Pridmore, Nastaran Dadashi, A. Stedmon, 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

Visual Object Tracking for the Extraction of Multiple Interacting Plant Root Systems

Tony P. Pridmore, Stefan Mairhofer, Malcolm Bennett, 2014, ECCV Workshops.

The Distance Transform for Line Patterns: Generalisation and Development

Sergey Ablameyko, Tony P. Pridmore, 1995, CAIP.

Understanding images: an approach to the university teaching of computer vision

Tony P. Pridmore, W.M.M. Hales, 1995 .

Surface Reconstruction of Plant Shoots from Multiple Views

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2014, ECCV Workshops.

Boundary extraction and polarimetry in translucent specimens for photoelastic stress analysis

Tony P. Pridmore, Adib A. Becker, Ahmed Ghali, 2003, IS&T/SPIE Electronic Imaging.

A 3D vision system for robotics

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1988 .

Grammar-Driven Interpretation of Engineering Drawings

Tony P. Pridmore, S. H. Joseph, M. E. Dunn, 1988, Alvey Vision Conference.

From codes to patterns: designing interactive decoration for tableware

Tony P. Pridmore, Steve Benford, Richard Mortier, 2013, CHI.

Integrating visual search with visual memory in a knowledge directed image interpretation system

Tony P. Pridmore, S. H. Joseph, 1990, BMVC.

Condensation tracking through a Hough space

Tony P. Pridmore, Steven Mills, Andrew P. French, 2004, ICPR 2004.

Interpreting Images of Maps

Sergey Ablameyko, Tony P. Pridmore, 2000 .

A Probabilistic Tracking Approach to Root Measurement in Images - Particle Filter Tracking is used to Measure Roots, via a Probabilistic Graph

Tony P. Pridmore, Dhaval Patel, Andrew P. French, 2008, BIOSIGNALS.

Machine interpretation of line drawing images - technical drawings, maps and diagrams

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Recovering Engineering Drawing Entities from Vector Data

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images

Tony P. Pridmore, Andrew P. French, John Atanbori, 2019, Front. Plant Sci..

Building Synthetic Graphical Documents for Performance Evaluation

Tony P. Pridmore, Ernest Valveny, Mathieu Delalandre, 2007, GREC.

What should the user do? Inference structures and line drawing interpretation

Sergey Ablameyko, Tony P. Pridmore, V. Bucha, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Task-Specific Construction Automation and Visually Competent Robots - A Position

G. Cockerham, Tony P. Pridmore, N. Taylor, 1995 .

Camping in the digital wilderness: tents and flashlights as interfaces to virtual worlds

Tony P. Pridmore, Jonathan Green, Steve Benford, 2002, CHI Extended Abstracts.

TINA: The Sheffeild AIVRU Vision System

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1987, IJCAI.

Tracking in a Hough Space with the Extended Kalman Filter

Tony P. Pridmore, Steven Mills, Mark Hills, 2003, BMVC.

Plant phenomics:: history, present status and challenges

Tony P. Pridmore, Yan Zhu, Tao Cheng, 2018 .

High-Throughput Quantification of Root Growth

Tony P. Pridmore, Darren M. Wells, Andrew P. French, 2012 .

COMPUTER VISION FOR MASONRY VAULT TESTING

Tony P. Pridmore, N. Taylor, R. J. Draper, 1995 .

Beyond the text: construction and analysis of multi-modal linguistic corpora

Tony P. Pridmore, Dawn Knight, Ronald Carter, 2006 .

Estimating camera orientation from vanishing point location during sewer surveys

Tony P. Pridmore, D. Cooper, N. Taylor, 1997 .

Imaging Methods for Phenotyping of Plant Traits

Tony P. Pridmore, David Rousseau, Hannah M. Dee, 2015 .

The Line Drawing Interpretation Problem

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Knowledge-Directed Interpretation of Mechanical Engineering Drawings

Tony P. Pridmore, S. H. Joseph, T. Pridmore, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation

Tony P. Pridmore, Michel F. Valstar, Muhammad Haris Khan, 2014, ACCV.

Vision-mediated interaction with the Nottingham caves

Tony P. Pridmore, Jonathan Green, Steve Benford, 2003, IS&T/SPIE Electronic Imaging.

Deep Learning for Multi-task Plant Phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2017 .

Exploiting ambient illumination to locate and recognise user behaviour in enclosed environments

Tony P. Pridmore, Boriana Koleva, Sahar Bayoumi, 2010, Personal and Ubiquitous Computing.

Interactive flashlights in special needs education

Tony P. Pridmore, Steve Benford, Sue Cobb, 2007, Digit. Creativity.

Using Schemata to Interpret Images of Mechanical Engineering Drawings

Tony P. Pridmore, S. H. Joseph, 1990, ECAI.

Sensing for Feature Identification in Sewers

Tony P. Pridmore, N. Taylor, S. J. Broadhurst, 1994 .

Components of a stereo vision system

Tony P. Pridmore, John Porrill, John E. W. Mayhew, 1988 .

Three-Dimensional Description of Sewer Laterals via Reflective Photometric Stereo

G. Cockerham, Tony P. Pridmore, N. Taylor, 1995 .

Structured Combination of Particle Filter and Kernel Mean Shift Tracking

Tony P. Pridmore, Steven Mills, Asad Naeem, 2006 .

Interpreting images of architecture, drawings for building cost estimation

Tony P. Pridmore, M. Huang, S. Fu, 1997 .

Bioinformatics Applications Note Systems Biology High-throughput Feature Counting and Measurement of Roots

Tony P. Pridmore, Andrew P. French, Darren M. Wells, 2022 .

Robotic Kinematic Simulation for Sewer Renovation

G. Cockerham, Tony P. Pridmore, N. Taylor, 1995 .

Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems

Tony P. Pridmore, Ernest Valveny, Mathieu Delalandre, 2010, International Journal on Document Analysis and Recognition (IJDAR).

Location and recognition of flashlight projections for visual interfaces

Tony P. Pridmore, Jonathan Green, Steve Benford, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2016 .

Perceptual issues in the recovery and visualisation of integrated systems biology data

Tony P. Pridmore, 2011, Electronic Imaging.

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2020, Plant Methods.

Towards infield, live plant phenotyping using a reduced-parameter CNN

Tony P. Pridmore, Andrew P. French, John Atanbori, 2019, Machine Vision and Applications.

Approaches to the university teaching of image analysis and understanding

Tony P. Pridmore, W.M.M. Hales, 1993 .

Towards the recovery of extrinsic camera parameters from video records of sewer surveys

Tony P. Pridmore, Neil Taylor, D. Cooper, 1998, Machine Vision and Applications.

Using social effects to guide tracking in complex scenes

Tony P. Pridmore, Andrew P. French, Ian L. Dryden, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

Classroom collaboration in the design of tangible interfaces for storytelling

Tony P. Pridmore, Steve Benford, John R. Wilson, 2001, CHI.

Binary Image Processing and the Raster to Vector Transformation

Sergey Ablameyko, Tony P. Pridmore, 2000 .

Expected, sensed, and desired: A framework for designing sensing-based interaction

Tony P. Pridmore, Jonathan Green, Albrecht Schmidt, 2005, TCHI.

Development and Evaluation of a Mixed Reality System for Stroke Rehabilitation

Tony P. Pridmore, Sue Cobb, John R. F. Gladman, 2011 .

Location and recognition of flashlight projections for visual interfaces

Tony P. Pridmore, Jonathan Green, Steve Benford, 2004, ICPR 2004.

Indexing & Retrieval of Graphic Document Images : a New System Scheme

Tony P. Pridmore, Mathieu Delalandre, Eric Trupin, 2005 .

Automatic task modelling for sewer studies

G. Cockerham, Tony P. Pridmore, N. Taylor, 1996 .

Visual tracking for the recovery of multiple interacting plant root systems from X-ray μ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt}

Tony P. Pridmore, Stefan Mairhofer, Malcolm Bennett, 2015, Machine Vision and Applications.

Exploring attractions and exhibits with interactive flashlights

Tony P. Pridmore, Jonathan Green, Steve Benford, 2013, Personal and Ubiquitous Computing.

Arabic Corpus Enhancement using a New Lexicon/Stemming Algorithm

Tony P. Pridmore, Mahmoud I. Khalil, Colin Higgins, 2013, ICPRAM.

TRIC-track: Tracking by Regression with Incrementally Learned Cascades

Tony P. Pridmore, Michel F. Valstar, Xiaomeng Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms

Tony P. Pridmore, Andrew P. French, Mark Basham, 2021, Machine Vision and Applications.

Virtual Reality and Stroke Assessment: Therapists' Perspectives

Tony P. Pridmore, Sue Cobb, D Hilton, 2000 .

The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis

Tony P. Pridmore, Michael P. Pound, Erik H. Murchie, 2016, Front. Plant Sci..

Optical fibre sensors for process tomography

Tony P. Pridmore, Ruzairi Abdul Rahim, F. J. Dickin, 1995 .

Recovering the dynamics of root growth and development using novel image acquisition and analysis methods

Tony P. Pridmore, Andrew P. French, Omer Ishaq, 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

CellSeT: Novel Software to Extract and Analyze Structured Networks of Plant Cells from Confocal Images[W]

Tony P. Pridmore, Michael P. Pound, Andrew P. French, 2012, Plant Cell.

Further development of a tomographic imaging system using optical fibres for pneumatic conveyors

Tony P. Pridmore, F. J. Dickin, R. G. Green, 1996 .

Extracting multiple interacting root systems using X‐ray microcomputed tomography

Tony P. Pridmore, Stefan Mairhofer, Sacha J. Mooney, 2015, The Plant journal : for cell and molecular biology.

Behavioural changes in dairy cows with lameness in an automatic milking system

Tony P. Pridmore, Andrew P. French, Jasmeet Kaler, 2014 .

Towards the generalisation of distance transform for line patterns

Sergey Ablameyko, Tony P. Pridmore, 1995 .

High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field1[OPEN]

Tony P. Pridmore, Michael P. Pound, Erik H. Murchie, 2015, Plant Physiology.