Výsledky vyhledávání - "Koichi Ogawara"

Akademický článek

A voting-based sequential pattern recognition method.

Autor: Koichi Ogawara, Masahiro Fukutomi, Seiichi Uchida, Yaokai Feng

Publikováno v: PLoS ONE, Vol 8, Iss 10, p e76980 (2013)

We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifie

Externí odkaz: https://doaj.org/article/c38f6cb1161c4bfa905075242a7fde12

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Estimation of object class and orientation from multiple viewpoints and relative camera orientation constraints

Autor: Keita Iseki, Koichi Ogawara

Publikováno v: IROS

In this research, we propose a method of estimating object class and orientation given multiple input images assuming the relative camera orientations are known. Input images are transformed to descriptors on 2-D manifolds defined for each class of o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::505b549461cf2f90eb9f039489f2f008
https://doi.org/10.1109/iros45743.2020.9340771

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Adaptive Data Generation and Bidirectional Mapping for Polyp Images

Autor: Haoqi Gao, Koichi Ogawara

Publikováno v: AIPR

Polyps are one of the main reasons of colorectal cancer. Early screening of diseases has critical value for clinical diagnosis. However, considering variations in the size and shape of polyps, colonoscopy is a challenging task in the diagnosis of pol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cd3ae9730c53208838b60a828830f89
https://doi.org/10.1109/aipr50011.2020.9425046

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Generative adversarial network for bidirectional mappings between synthetic and real facial image

Autor: Haoqi Gao, Koichi Ogawara

Publikováno v: Twelfth International Conference on Digital Image Processing (ICDIP 2020).

Currently, image-to-image translation tasks have been extensively investigated by Generative Adversarial Network (GAN) 1 and Neural Style2 . However, the model of the GAN can easily lead to network collapse, making the generation process free and unc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd676915212b40a9b8ebee24fc660426
https://doi.org/10.1117/12.2572909

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CGAN-based Synthetic Medical Image Augmentation between Retinal Fundus Images and Vessel Segmented Images

Autor: Koichi Ogawara, Gao HaoQi

Publikováno v: 2020 5th International Conference on Control and Robotics Engineering (ICCRE).

Computer-aided medical diagnosis is widely used to assist in the interpretation of medical images. Early screening of diseases has a great value for the clinical diagnosis. However, medical images are scarce and fraught with legal concerns about pati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a06cac9436dc0e0847184661f4203b1
https://doi.org/10.1109/iccre49379.2020.9096438

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