News

Research

Our lab studies on computer graphics and computer vision techniques, focusing on image, video, and geometry processing for 2D and 3D real-world data and their purpose-specific visualization. You can find recent work of our lab in the following list.

You can also find the entire list of projects from the [RESEARCH] page.

If you are interested in joining our lab as an under- and post-graduate student (and also postdoc), please also visit the [JOIN US] page.

Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform

graphics

geometry

applications

Reference: Yuta Yamauchi, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform," Computational Visual Media (2023).

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

graphics

geometry

deep learning

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks," European Conference on Computer Vision 2022.

Degree of local symmetry for geometry-aware selective part visualization on CT volumes

applications

NDT

Reference: Nobumichi Yasunami, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Degree of local symmetry for geometry-aware selective part visualization on CT volumes," Nondestructive Testing and Evaluation (2022).

Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites

applications

NDT

Reference: Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites," Journal of Nondestructive Evaluation (2022).

Light Source Selection in Primary-Sample-Space Neural Photon Sampling

graphics

rendering

deep learning

Reference: Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima, "Light Source Selection in Primary-Sample-Space Neural Photon Sampling," SIGGRAPH Asia 2021 Poster.

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