櫻本泰憲,兼松裕一,大野広揮,秋月秀一,橋本学,渡邊清高,関真規人, Coded Multi Flush Imagingによる3次元凹凸構造特徴マッチング, 精密工学会誌, Vol.81, No.10, pp.944-950, 2015.
Shuichi Akizuki, Manabu Hashimoto, Stable Position and Pose Estimation of Industrial Parts using Evaluation of Observability of 3D Vector Pairs, Journal of Robotics and Mechatronics (Special Issue on Vision and Motion Control), Vol.27, No.2, pp.174-181, 2015.
Shuichi Akizuki, Manabu Hashimoto, Relative Point Density (RPD) Feature for Object Recognition Independent of Point Cloud Sparseness,The Korea-Japan joint workshop on Frontiers of Computer Vision (FCV) , 2016.(oral, accepted)
Shuichi Akizuki, Manabu Hashimoto, Multible 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots,11th International Conference on Computer Vision Theory and Applications (VISAPP), 2016.(oral, accepted)
Shuichi Akizuki, Manabu Hashimoto, DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions,11th International Symposium on Visual Computing (ISVC), Part I, LNCS 9474, pp.878-887, 2015.
Shuichi Akizuki, Manabu Hashimoto, A Proposal of the Global Reference Frame for Surface Flatness-independent 3D Object Detection,Proc. Joint Conference of the International Workshop on Advanced Image Technology(IWAIT) and the International Forum on Medical Imaging in Asia(IFMIA),OS. 27, 2015.(oral)
Masanobu Nagase,Shuichi Akizuki,Manabu Hashimoto, High-speed and Reliable Object Recognition based on Low-dimensional Local Shape Features,Proc. the 13th International Conference on Control, Automation, Robotics and Vision(ICARCV),pp.82-87,2014.
Shoichi Takei,Shuichi Akizuki,Manabu Hashimoto,3D Object Recognition using Effective Features Selected by Evaluating Performance of Discrimination,Proc. the 13th International Conference on Control, Automation, Robotics and Vision(ICARCV),pp.70-75,2014.
Shuichi Akizuki, Manabu Hashimoto, Position and Pose Recognition of Randomly Stacked Objects using Highly Observable 3D Vector Pairs,Proc. the 40th Annual Conference of the IEEE Industrial Electronics Society,pp.5266-5271,Oct. 2014.(oral)
Shuichi Akizuki,Manabu Hashimoto, Fast and Reliable 3-D Object Recognition based on Surface Normal Distributions,International Symposium on Optomechatronic Technologies, Oct. 2013.(oral)
Masanobu Nagase,Shuichi Akizuki,Manabu Hashimoto, 3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness,15th International Conference on Computer Analysis of Images and Patterns, Part I, LNCS,Vol.8047, pp.473-481, Aug. 2013.
Shuichi Akizuki, Manabu Hashimoto, Robust Matching for Low-texture Images based on Co-occurrence of Geometry-optimized Pixel Patterns, IEEE Proc. International Conference on Quality Control by Artificial Vision, pp.113-116, May 2013.(oral)
Shuichi Akizuki, Manabu Hashimoto, High-speed and Reliable Object Recognition using Distinctive 3-D Vector Pairs in a Range Image,IEEE Proc. International Symposium on Optomechatronic Technologies,pp.1-6, Oct. 2012.(oral)