Items where Subject is "08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision"

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Number of items at this level: 7.

Article

Sun, Hao, Wang, Yi, Sun, Chaofan, Ye, Qingsong, Dai, Weiwei, Wang, Xiuying, Xu, Qingchao, Pan, Sisi, and Hu, Rongdang (2014) Root morphology and development of labial inversely impacted maxillary central incisors in the mixed dentition: a retrospective cone-beam computed tomography study. American Journal of Orthodontics and Dentofacial Orthopedics, 146 (6). pp. 709-716.

Teoh, Teik Toe, Kok, Kiat Han, Oruganti, Venkata Ramana Murthy, Cho, Siu Yeung, and Nguwi, Yok Yen (2012) New face search for Android. International Journal of Intelligent Information Processing, 3 (2). pp. 32-39.

Nguwi, Yok-Yen, and Kouzani, Abbas Z. (2008) Detection and classification of road signs in natural environments. Neural Computation and Applications, 17 (3). pp. 265-289.

Conference Item

Olsen, Alex, Han, Sunghyu, Calvert, Brendan, Ridd, Peter, and Kenny, Owen (2015) In situ leaf classification using histograms of oriented gradients. In: Proceedings of the lnternational Conference on Digital lmage Computing: techniques and applications. pp. 441-448. From: DICTA 2015: lnternational Conference on Digital lmage Computing: techniques and applications, 23-25 Nov 2015, Adelaide, SA, Australia.

Rahman, Atiqur Shah, Song, I., and Leung, M.K.H. (2012) Negative space template: a novel feature to describe activities in video. In: Proceedings of the 2012 International Joint Conference on Neural Networks. 6252666. pp. 1-7. From: 2012 International Joint Conference on Neural Networks (IJCNN), 10-15 June 2012, Brisbane, Australia.

Nguwi, Yok-Yen, and Cho, Siu-Yeung (2008) Two-tier self-organizing visual model for road sign recognition. In: Proceedings of the 2008 International Joint Conference of Neural Networks. pp. 794-799. From: 2008 International Joint Conference of Neural Networks (IJCNN 2008), 1-8 June 2008, Hong Kong.

Thesis

Olsen, Alex (2020) Improving the accuracy of weed species detection for robotic weed control in complex real-time environments. PhD thesis, James Cook University.

This list was generated on Tue Sep 28 22:53:31 2021 AEST.