Search Results for author: Takahiro Toizumi

Found 4 papers, 0 papers with code

Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module

no code implementations12 Jan 2024 Seitaro Ono, Yuka Ogino, Takahiro Toizumi, Atsushi Ito, Masato Tsukada

In recent years, significant progress has been made in image recognition technology based on deep neural networks.

Segmentation-free Direct Iris Localization Networks

no code implementations19 Oct 2022 Takahiro Toizumi, Koichi Takahashi, Masato Tsukada

Experimental results show that the combination of ILN and PRN works in 34. 5 ms for one iris image on a CPU, and its localization performance outperforms conventional iris segmentation methods.

Decoder Iris Recognition +3

Fast Eye Detector Using Siamese Network for NIR Partial Face Images

no code implementations22 Feb 2022 Yuka Ogino, Yuho Shoji, Takahiro Toizumi, Ryoma Oami, Masato Tsukada

A regression on a portion of a feature with high similarity refines the coarse position of the eye to obtain the fine position with high accuracy.

Iris Recognition Metric Learning +3

Rollable Latent Space for Azimuth Invariant SAR Target Recognition

no code implementations6 Feb 2018 Kazutoshi Sagi, Takahiro Toizumi, Yuzo Senda

Scarce labeled data and limited viewing direction are critical issues in SAR target recognition. The RLS is a designed space in which rolling of latent features corresponds to 3D rotation of an object.

Data Augmentation

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