4 citations · 4 across the 3 of their papers we have counts for
3 papers
Attention-guided reference point shifting for Gaussian-mixture-based partial point set registration
Mizuki Kikkawa, Tatsuya Yatagawa, Yutaka Ohtake +1
This study investigates the impact of the invariance of feature vectors for partial-to-partial point set registration under translation and rotation of input point sets, particular…
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake +1
In this paper, we present a self-prior-based mesh inpainting framework that requires only an incomplete mesh as input, without the need for any training datasets. Additionally, our…
Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function
Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Traditional algorithms of point set registration minimizing point-to-plane distances often achieve a better estimation of rigid transformation than those minimizing point-to-point…