460304. Computer vision
| Title | 460304. Computer vision |
|---|---|
| Parent | 4603. Computer vision and multimedia computation |
Latest research outputs
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3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults
Al-Kharaz, Ali Abdulmunim Ibrahim. 2021. 3D photogrammetric images to evaluate foot morphology and ankle kinematics during gait of Middle Eastern adults. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/6R0V-JM39PhD Thesis
A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17
McCarthy, Alison and Raine, Steven. 2017. A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17. United States. Monsanto.Technical report
A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping
Shalal, Nagham, Low, Tobias, McCarthy, Cheryl and Hancock, Nigel. 2013. "A preliminary evaluation of vision and laser sensing for tree trunk detection and orchard mapping." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.Paper
A preliminary field evaluation of an automated vision-based plant geometry measurement system
McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2007. "A preliminary field evaluation of an automated vision-based plant geometry measurement system." Prusinkiewicz, Przemyslaw, Hanan, Jim S. and Lane, Brendan (ed.) 5th International Workshop on Functional Structural Plant Models (FSPM07). Napier, New Zealand 04 - 09 Nov 2007Presentation
A web-based interactive data visualization system for outlier subspace analysis
Liu, Dong, Gao, Qigang, Wang, Hai and Zhang, Ji. 2010. "A web-based interactive data visualization system for outlier subspace analysis." Debnath, Narayan (ed.) SEDE 2010: 19th International Conference on Software Engineering and Data Engineering. San Francisco, United States 16 - 18 Jun 2010 Cary, NC. United States.Paper
A wireless sensor network environment monitoring system based on TinyOS
Gao, Rui, Zhou, Hong and Su, Gang. 2011. "A wireless sensor network environment monitoring system based on TinyOS." Zhixi, Yin (ed.) ICEOE 2011: International Conference on Electronics and Optoelectronics. Dalian, China 29 - 31 Jul 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICEOE.2011.6013153Paper
Adversarial action data augmentation for similar gesture action recognition
Wu, Di, Chen, Junjun, Sharma, Nabin, Pan, Shirui, Long, Guodong and Blumenstein, Michael. 2019. "Adversarial action data augmentation for similar gesture action recognition." 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary 14 - 19 Jul 2019 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2019.8851993Paper
An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems
Jensen, T. A., Baillie, C., Bramley, R. G. V. and Panitz, J. H.. 2012. "An assessment of sugarcane yield monitoring concepts and techniques from commercial yield monitoring systems." Bruce, R. C. (ed.) 34th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2012). Palm Cove, Australia 01 - 04 May 2012 Mackay, Australia.Paper
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2019. "An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition." 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, New Zealand 19 - 21 Nov 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IVCNZ.2018.8634660Paper
Analysis of Gender Related Foot Morphology in Iraqi Adults Using Videogrammetry During Gait
Al-Kharaz, Ali A. and Chong, Albert. 2019. "Analysis of Gender Related Foot Morphology in Iraqi Adults Using Videogrammetry During Gait." 9th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2019). Kota Kinabalu, Malaysia 27 - 28 Apr 2019 United States. https://doi.org/10.1109/ISCAIE.2019.8743984Paper
Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement
McCarthy, Cheryl, Hancock, Nigel and Raine, Steven R.. 2010. "Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement." Journal of Cotton Science. 14 (4), pp. 221-232.Article
Application of machine vision to determine the density of dingo teeth
Withers, Kerry W. and Billingsley, J.. 2004. "Application of machine vision to determine the density of dingo teeth." Buttemer, W. A., Else, P. L., Hulbert, A. J., Faulks, S. C. and Turner, N. (ed.) ANZSCPB 2004: 21st Annual Meeting of Australian and New Zealand Society for Comparative Physiology and Biochemistry. Wollongong, Australia 09 - 12 Dec 2004 Wollongong, Australia.Poster
Applications of vision sensing in agriculture
Dunn, Mark. 2007. Applications of vision sensing in agriculture. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Applied machine vision of plants: a review with implications for field deployment in automated farming operations
McCarthy, C. L., Hancock, N. H. and Raine, S. R.. 2010. "Applied machine vision of plants: a review with implications for field deployment in automated farming operations." Intelligent Service Robotics. 3 (4), pp. 209-217. https://doi.org/10.1007/s11370-010-0075-2Article
Artificial Intelligence: what is it and what does it mean for cotton?
McCarthy, Alison. 2023. "Artificial Intelligence: what is it and what does it mean for cotton?" 2023 Australian Cotton Research Conference. Toowoomba 05 - 07 Sep 2023 Australia.Keynote
Augmented reality and natural user interface applications for remote laboratories
Maiti, Ananda, Smith, Mark, Maxwell, Andrew D. and Kist, Alexander A.. 2018. "Augmented reality and natural user interface applications for remote laboratories." Auer, Michael E., Azad, Abul K. M., Edwards, Aurther and de Jong, Ton (ed.) Cyber-physical laboratories in engineering and science education. Switzerland. Springer. pp. 79-109Edited book (chapter)
Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation . Australia. Cotton Research and Development Corporation.Technical report
Automated macadamia nut orchard yield monitoring
Dunn, Mark and Billingsley, John. 2005. "Automated macadamia nut orchard yield monitoring." Billingsley, John (ed.) 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005). Manila, Philippines 29 Nov - 01 Dec 2005 Hertfordshire, England.Paper
Automated variety trial plot growth and flowering detection for maize and soybean using machine vision
McCarthy, Alison and Raine, Steven. 2022. "Automated variety trial plot growth and flowering detection for maize and soybean using machine vision." Computers and Electronics in Agriculture. 194, pp. 1-21. https://doi.org/10.1016/j.compag.2022.106727Article
Automatic disparity search range estimation in deep learning stereo
Perera, Ruveen. 2021. Automatic disparity search range estimation in deep learning stereo. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/m0vj-5p57PhD Thesis
Automatic plant branch segmentation and classification using vesselness measure
Mohammed Amean, Z., Low, T., McCarthy, C. and Hancock, N.. 2013. "Automatic plant branch segmentation and classification using vesselness measure." Katupitiya, Jayantha, Guivant, Jose and Eaton, Ray (ed.) Australasian Conference on Robotics and Automation (ACRA 2013). Sydney, Australia 02 - 04 Dec 2013 Australia.Paper
Automatic plant features recognition using stereo vision for crop monitoring
Mohammed Amean, Zainab. 2017. Automatic plant features recognition using stereo vision for crop monitoring. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5c09b962f0cc5PhD Thesis
Automation and the farmer
Billingsley, John. 2009. "Automation and the farmer." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2009: Agricultural Technologies In a Changing Climate. Brisbane, Australia 13 - 16 Sep 2009 Brisbane, Australia.Paper
Behaviour of juvenile antechinus flavipes: a preliminary study
Wollenhaupt, Anja, Withers, Kerry and Billingsley, John. 2009. "Behaviour of juvenile antechinus flavipes: a preliminary study." 26th Annual Meeting of the Australian and New Zealand Society for Comparative Physiology and Biochemistry (ANZSCPB 2009). Geelong, Australia 27 - 29 Nov 2009 Perth, Australia.Poster
Cattle liveweight estimation using machine vision assessment of objective body measurements: first results
McCarthy, C., Billingsley, J., Finch, N., Murray, P. and Gaughan, J.. 2010. "Cattle liveweight estimation using machine vision assessment of objective body measurements: first results." 28th Biennial Australian Society of Animal Production Conference. Armidale, Australia 11 - 15 Jul 2010 Brisbane, Australia.Poster
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240Article
Control of watering point access using machine vision classification of animals
Finch, Neal A., Murray, Peter J., Dunn, Mark T. and Billingsley, John. 2006. "Control of watering point access using machine vision classification of animals." Transactions of the Western Section of the Wildlife Society. 42, pp. 16-19.Article
Cotton health assessment and yield prediction
McCarthy, Alison and Baillie, Craig. 2022. Cotton health assessment and yield prediction. United States. John Deere.Technical report
Daylight illumination compensation for in-field camera systems
Moore, Peter L.. 2022. Daylight illumination compensation for in-field camera systems. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/q7q96Masters Thesis
Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
Koirala, A, Walsh, K.B, Wang, Z and McCarthy, C. 2019. "Deep learning for real‑time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’." Precision Agriculture. 20 (6), pp. 1107-1135. https://doi.org/10.1007/s11119-019-09642-0Article
Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625Article
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.Article
Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/cbeg-yw22PhD Thesis
Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane
Rees, S. J., McCarthy, C. L., Baillie, C. P., Burgos-Artizzu, X. P. and Dunn, M. T.. 2011. "Development and evaluation of a prototype precision spot spray system using image analysis to target guinea grass in sugarcane." Australian Journal of Multi-Disciplinary Engineering. 8 (2), pp. 97-106.Article
Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images
Bargshady, Ghazal. 2020. Enhanced deep learning predictive modelling approaches for pain intensity recognition from facial expression video images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kjka-n867PhD Thesis
Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954Article
Evaluation of the performance of DEM interpolation algorithms for LiDAR data
Liu, Xiaoye, Zhang, Zhenyu and Peterson, Jim. 2009. "Evaluation of the performance of DEM interpolation algorithms for LiDAR data." Ostendorf, Bertram, Baldock, Penny, Bruce, David, Burdett, Michael and Corcoran, Paul (ed.) 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity. Adelaide, Australia 28 Sep - 02 Oct 2009 Adelaide, Australia.Paper
Field testing of vision based macadamia yield monitoring
Dunn, Mark, Billingsley, John and Bell, David. 2005. "Field testing of vision based macadamia yield monitoring." Billingsley, John (ed.) 12th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP 2005). Manila, Philippines 29 Nov - 01 Dec 2005 Hertfordshire, England.Paper
Fixed camera system for phenology measurements during the 2018 field season
McCarthy, Alison and Raine, Steven. 2018. Fixed camera system for phenology measurements during the 2018 field season. United States. Monsanto.Technical report
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper