Works (4)

Updated: April 29th, 2025 05:03

2024 article

Automated Depth Sensing-Based Computer Vision for Dog Tail Wagging Interpretation

Martin, D., Park, J., Carson, M., Gruen, M., Bozkurt, A., & Roberts, D. L. (2024, November 28). ELEVENTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2024.

By: D. Martin n, J. Park n, M. Carson n, M. Gruen n, A. Bozkurt n & D. Roberts n

author keywords: Computer Vision; Animal-Computer Interaction; Interpretability
topics (OpenAlex): Image and Object Detection Techniques; Robot Manipulation and Learning; Image Processing and 3D Reconstruction
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 28, 2024

2024 article

Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5

Li, X., Park, J., Reberg-Horton, C., Mirsky, S., Lobaton, E., & Xiang, L. (2024, June 17). 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, pp. 5480–5488.

By: X. Li n, J. Park n, C. Reberg-Horton n, S. Mirsky*, E. Lobaton n & L. Xiang n

topics (OpenAlex): Ecology and Conservation Studies
Sources: Web Of Science, NC State University Libraries
Added: March 10, 2025

2022 article

Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation

Martin, D., Holder, T., Nichols, C., Park, J., Roberts, D., & Bozkurt, A. (2022, December 5). NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022.

By: D. Martin n, T. Holder n, C. Nichols n, J. Park n, D. Roberts n & A. Bozkurt n

author keywords: Computer Vision; IMU; Animal-Computer Interaction; Interpretability
topics (OpenAlex): Human-Animal Interaction Studies; Rabies epidemiology and control; Veterinary Orthopedics and Neurology
TL;DR: The preliminary findings support that the higher-resolution and continuous interpretations on the dog tail movements and positions can pave the way for assessing their emotional states and designing more appropriate training and play environments. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 18, 2023

2022 article

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers

Graham, B. P., Park, J., Billings, G. T., Hulse‐Kemp, A. M., Haigler, C. H., & Lobaton, E. (2022, November 1). Applications in Plant Sciences, Vol. 11.

By: B. Graham n, J. Park n, G. Billings n, A. Hulse‐Kemp n, C. Haigler n & E. Lobaton n

author keywords: cotton diversity; fiber morphogenesis; Gossypium barbadense; Gossypium hirsutum; light microscopy; machine learning
topics (OpenAlex): Research in Cotton Cultivation; Textile materials and evaluations; Bamboo properties and applications
TL;DR: Improved semi‐automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered or hemisphere fibers in homogeneous or mixed populations are developed. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 28, 2022

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