Shuichi Akizuki
According to our database1,
Shuichi Akizuki
authored at least 30 papers
between 2013 and 2024.
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Bibliography
2024
Proposal of Learning Support Model for Teacher-Type Robot Supporting Learning According to Learner's Perplexed Facial Expressions.
J. Robotics Mechatronics, February, 2024
Reliable Image Matching Using Optimal Combination of Color and Intensity Information Based on Relationship with Surrounding Objects.
IEICE Trans. Inf. Syst., 2024
DoG-PaDiM: Anomaly Detection Based on Bandpass Filtering for Arbitrary Size Defect Extraction.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Effect of a Learning Support Model that Provides Autonomous Learning Support in a Teacher-Type Robot Based on the Learner's Perplexion State.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2023
Reliable Matching by Combining Optimal Color and Intensity Information Based on Relationships Between Target and Surrounding Objects.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023
2022
Supporting collective physical activities by interactive floor projection in a special-needs school setting.
Int. J. Child Comput. Interact., 2022
Adv. Robotics, 2022
Effects of a Teacher-type Robot Using a Perplexion Estimation Method on College Students.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022
Convolutional Neural Tree for Video-Based Facial Expression Recognition Embedding Emotion Wheel as Inductive Bias.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
2019
Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Proceedings of the 16th International Conference on Machine Vision Applications, 2019
Proceedings of the 19th International Conference on Advanced Robotics, 2019
Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017
2016
Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
2015
Stable Position and Pose Estimation of Industrial Parts Using Evaluation of Observability of 3D Vector Pairs.
J. Robotics Mechatronics, 2015
Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera.
Proceedings of the VISAPP 2015, 2015
SHORT: A fast 3D feature description based on estimating occupancy in spherical shell regions.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015
DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
2014
Position and pose recognition of randomly stacked objects using highly observable 3D vector pairs.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
3D object recognition using effective features selected by evaluating performance of discrimination.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
High-speed and reliable object recognition based on low-dimensional local shape features.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness.
Proceedings of the Computer Analysis of Images and Patterns, 2013