If you made any changes in Pure these will be visible here soon.

Research Output 1999 2020

Article
11 Citations (Scopus)

Algorithmic methodologies for FPGA-based vision

Lim, Y. K., Kleeman, L. & Drummond, T. W., 2013, In : Machine Vision and Applications. 24, 6, p. 1197 - 1211 15 p.

Research output: Contribution to journalArticleResearchpeer-review

51 Citations (Scopus)

Application of lie algebras to visual servoing

Drummond, T. & Cipolla, R., 1 Jan 2000, In : International Journal of Computer Vision. 37, 1, p. 21-41 21 p., 262644.

Research output: Contribution to journalArticleResearchpeer-review

Approximate fisher information matrix to characterise the training of deep neural networks

Liao, Z., Drummond, T., Reid, I. & Carneiro, G., Jan 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 1, p. 15-26 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Artificial intelligence assisted condition assessment

Nash, W., Holloway, L., Drummond, T. & Birbilis, N., 1 Feb 2018, In : Corrosion and Materials. 43, 1, p. 78-81 4 p.

Research output: Contribution to journalArticleResearchpeer-review

Augmented reality

Drummond, T., 16 Mar 2007, In : ABB Review. 1, p. 70-72 3 p.

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)

Binary histogrammed intensity patches for efficient and robust matching

Taylor, S. & Drummond, T., 2011, In : International Journal of Computer Vision. 94, 2, p. 241 - 265 25 p.

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation

Shahrokni, A., Drummond, T., Fleuret, F. & Fua, P., 2009, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 31, 3, p. 570 - 576 7 p.

Research output: Contribution to journalArticleResearchpeer-review

59 Citations (Scopus)

Edge landmarks in monocular SLAM

Eade, E. & Drummond, T., 2009, In : Image and Vision Computing. 27, 5, p. 588 - 596 9 p.

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Fast depth video compression for mobile RGB-D sensors

Wang, X., Sekercioglu, Y. A., Drummond, T., Natalizio, E., Fantoni, I. & Fremont, V., 2016, In : IEEE Transactions on Circuits and Systems for Video Technology. 26, 4, p. 673 - 686 14 p.

Research output: Contribution to journalArticleResearchpeer-review

1069 Citations (Scopus)

Faster and better: A machine learning approach to corner detection

Rosten, E., Porter, R. & Drummond, T., 2010, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 1, p. 105 - 119 15 p.

Research output: Contribution to journalArticleResearchpeer-review

76 Citations (Scopus)

Layered motion segmentation and depth ordering by tracking edges

Smith, P., Drummond, T. & Cipolla, R., 1 Apr 2004, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 4, p. 479-494 16 p.

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Learning task-specific object recognition and scene understanding

Drummond, T. & Caelli, T., 1 Jan 2000, In : Computer Vision and Image Understanding. 80, 3, p. 315-348 34 p.

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Multi-modal tracking using texture changes

Kemp, C. & Drummond, T., 2008, In : Image and Vision Computing. 26, 3, p. 442 - 450 9 p.

Research output: Contribution to journalArticleResearchpeer-review

191 Citations (Scopus)

Particle shape characterisation using Fourier descriptor analysis

Bowman, E. T., Soga, K. & Drummond, W., 1 Jan 2001, In : Geotechnique. 51, 6, p. 545-554 10 p.

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Rapidly constructed appearance models for tracking in augmented reality applications

Neubert, J., Pretlove, J. & Drummond, T. W., 2012, In : Machine Vision and Applications. 23, 5, p. 843 - 856 14 p.

Research output: Contribution to journalArticleResearchpeer-review

235 Citations (Scopus)

Real-time detection and tracking for augmented reality on mobile phones

Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T. & Schmalstieg, D., 2010, In : IEEE Transactions on Visualization and Computer Graphics. 16, 3, p. 355 - 368 14 p.

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Real-time load disaggregation algorithm using particle-based distribution truncation with state occupancy model

Wong, Y. F., Drummond, T. & Sekercioglu, Y. A., 2014, In : Electronics Letters. 50, 9, p. 697 - 699 3 p.

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)

Real-time tracking of complex structures with on-line camera calibration

Drummond, T. & Cipolla, R., 6 Mar 2002, In : Image and Vision Computing. 20, 5-6, p. 427-433 7 p.

Research output: Contribution to journalArticleResearchpeer-review

429 Citations (Scopus)

Real-time visual tracking of complex structures

Drummond, T. & Cipolla, R., 1 Jul 2002, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 7, p. 932-946 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Relative pose based redundancy removal: Collaborative RGB-D data transmission in mobile visual sensor networks

Wang, X., Şekercioğlu, Y. A., Drummond, T., Frémont, V., Natalizio, E. & Fantoni, I., 26 Jul 2018, In : Sensors. 18, 8, 23 p., 2430.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
23 Citations (Scopus)

Texture Boundary Detection for Real-Time Tracking

Shahrokni, A., Drummond, T. & Fua, P., 1 Dec 2004, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3022, p. 566-577 12 p.

Research output: Contribution to journalArticleResearchpeer-review

38 Citations (Scopus)

Tightly integrated sensor fusion for robust visual tracking

Klein, G. S. W. & Drummond, T. W., 1 Sep 2004, In : Image and Vision Computing. 22, 10 SPEC. ISS., p. 769-776 8 p.

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

Vision-based cooperative pose estimation for localization in multi-robot systems equipped with RGB-D cameras

Wang, X., Sekercioglu, Y. A. & Drummond, T. W., Mar 2015, In : Robotics. 4, 1, p. 1-22 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Conference article
3 Citations (Scopus)

Using occlusions to aid position estimation for visual motion capture

Ringer, M., Drummond, T. & Lasenby, J., 1 Dec 2001, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2

Research output: Contribution to journalConference articleResearchpeer-review

33 Citations (Scopus)

Visual tracking and control using Lie algebras

Drummond, T. & Cipolla, R., 1 Jan 1999, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2, p. 652-657 6 p.

Research output: Contribution to journalConference articleResearchpeer-review

Conference Paper

A compact parametric solution to depth sensor calibration

Spek, A. & Drummond, T., 2017, British Machine Vision Conference Proceedings 2017. Mikolajczyk, K. & Brostow, G. (eds.). London UK: British Machine Vision Association and Society for Pattern Recognition, 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
6 Citations (Scopus)

A distributed robotic vision service

Chamberlain, W., Leitner, J., Drummond, T. & Corke, P., 8 Jun 2016, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016: Stockholm, Sweden; May 16-21, 2016. Okamura, A. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2494-2499 6 p. 7487403

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

A fast method for computing principal curvatures from range images

Spek, A. T., Li, W. H. & Drummond, T. W., 2015, Australasian Conference on Robotics and Automation, ACRA 2015: 2-4 December 2015; Canberra, Australia. Mahony, R., Kim, J. & Li, H. (eds.). Canberra ACT Australia: Australian Robotics & Automation Association Inc, p. 33-41 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

A fast multiple appliance detection algorithm for non-intrusive load monitoring

Wong, V. S., Wong, Y. F., Drummond, T. W. & Sekercioglu, Y. A., 2013, Proceedings of the 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG). Sundaram, S. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 80 - 86 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

An iterative 5-pt algorithm for fast and robust essential matrix estimation

Lui, V. W. H. & Drummond, T. W., 2013, Proceedings of the British Machine Vision Conference 2013. Burghardt, T., Damen, D., Mayol-Cuevas, W. & Mirmehdi, M. (eds.). Bristol UK: University of Bristol, p. 1 - 11 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

A real-time distributed relative pose estimation algorithm for RGB-D camera equipped visual sensor networks

Wang, X., Sekercioglu, Y. A. & Drummond, T. W., 2013, Proceedings of the Seventh ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2013). Bobda, C. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1 - 7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

34 Citations (Scopus)

A single-frame visual gyroscope

Klein, G. & Drummond, T., 2005, Proceedings of the British Machine Vision Conference 2005. Clocksin, W. F., Fitzgibbon, A. W. & Torr, P. H. S. (eds.). Oxford UK: British Machine Vision Association, p. 1 - 10 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

22 Citations (Scopus)

A unified rolling shutter and motion blur model for 3D visual registration

Meilland, M., Drummond, T. W. & Comport, A., 2013, Proceedings 2013 IEEE International Conference on Computer Vision ICCV 2013. Zhang, J. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2016 - 2023 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Collaborative multi-sensor image transmission and data fusion in mobile visual sensor networks equipped with RGB-D cameras

Wang, X., Ahmet Sekercioglu, Y., Drummond, T., Natalizio, E., Fantoni, I. & Fremont, V., 9 Feb 2017, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016): Baden-Baden, Germany, 19-21 September 2016. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 7849458

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Corner matching refinement for monocular pose estimation

Gamage, D. & Drummond, T., 2012, Proceedings of the British Machine Vision Conference 2012: Surrey, Guildford, UK, September 3-7, 2012. Bowden, R., Collomosse, J. & Mikolajczyk, K. (eds.). United Kingdom: BMVA Press, p. 1-11 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2 Citations (Scopus)

CReaM: Condensed Real-time Models for depth prediction using Convolutional Neural Networks

Spek, A., Dharmasiri, T. & Drummond, T., 27 Dec 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Laschi, C. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 540-547 8 p. (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Deep learning AI for corrosion detection

Nash, W., Drummond, T. & Birbilis, N., 2019, Corrosion 2019. NACE International, 11 p. (NACE - International Corrosion Conference Series).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

3 Citations (Scopus)

Deep metric learning and image classification with nearest neighbour gaussian kernels

Meyer, B. J., Harwood, B. & Drummond, T., 2018, 2018 IEEE International Conference on Image Processing - Proceedings. Boulgouris, N. & Kondi, L. P. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 151-155 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Deterministic sample consensus with multiple match hypotheses

Mcllroy, P., Rosten, E., Taylor, S. & Drummond, T., 2010, Proceedings of the British Machine Vision Conference 2010. Zwiggelaar, R. (ed.). UK: British Machine Vision Association, p. 1 - 11 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Differentiating between many similar features using relational information in space and scale

Gan, T. & Drummond, T., 2006, Proceedings of The 18th International Conference on Pattern Recognition. Chu, X. (ed.). Los Alamitos CA USA: IEEE Computer Society, Vol. 2. p. 638 - 641 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Distributed robotic vision as a service

Chamberlain, W., Drummond, T. W. & Corke, P. I., 2015, Australasian Conference on Robotics and Automation, ACRA 2015: 2-4 December 2015; Canberra, Australia. Mahony, R., Kim, J. & Li, H. (eds.). Canberra ACT Australia: Australian Robotics & Automation Association Inc, p. 379-387 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

Distributed visual processing for augmented reality

Yii, W. M. S. & Drummond, T. W., 2012, ISMAR 2012 IEEE International Symposium on Mixed and Augmented Reality. Reynolds, C. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 41 - 48 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Dynamic measurement clustering to aid real time tracking

Kemp, C. & Drummond, T., 2005, Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV 2005). Lin, S. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2. p. 1500 - 1507 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)

eBug - An open robotics platform for teaching and research

D'Ademo, N., Lui, W. L. D., Li, W. H., Şekercioǧlu, Y. A. & Drummond, T., 2011, Proceedings of the 2011 Australasian Conference on Robotics and Automation (ACRA 2011). Li, W. H. (ed.). Melbourne Vic Australia: Australian Robotics and Automation Association, 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Efficient parametric non-Gaussian dynamical filtering

Loxam, J. & Drummond, T., 1 Dec 2006, NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. 4378834

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Efficient subpixel refinement with symbolic linear predictors

Lui, V., Geeves, J., Yii, W. & Drummond, T., 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Forsyth, D., Laptev, I., Oliva, A. & Ramanan, D. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 8165-8173 9 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

ENG: end-to-end neural geometry for robust depth and pose estimation using CNNs

Dharmasiri, T., Spek, A. & Drummond, T., 2019, Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision Perth, Australia, December 2–6, 2018 Revised Selected Papers, Part I. Jawahar, C. V., Li, H., Mori, G. & Schindler, K. (eds.). Cham Switzerland: Springer, p. 625-642 18 p. (Lecture Notes in Computer Science; vol. 11361).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

17 Citations (Scopus)

FANNG: Fast approximate nearest neighbour graphs

Harwood, B. & Drummond, T., 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016): Las Vegas, Nevada, USA, 27-30 June, 2016. Piscataway, NJ: IEEE Computer Society, p. 5713-5722 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Fast inverse compositional image alignment with missing data and re-weighting

Lui, V. W. H., Gamage, D. S. & Drummond, T. W., 2015, Proceedings of the British Machine Vision Conference 2015. Xie, X., Jones, M. W. & Tam, G. K. L. (eds.). Durham UK: BMVA Press, p. 1 - 12 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)

Fast texture-based tracking and delineation using texture entropy

Shahrokni, A., Drummond, T. & Fua, P., 2005, Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV 2005). Lin, S. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2. p. 1154 - 1160 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review