| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2024-02-10
10:15 |
Online |
online |
Examination of improvement in product region extraction based on deep neural network
Riku Kato, Takuya Futagami (AGU) |
In this paper, we propose a method, which can extract product regions at pixel-wise level from images uploaded to online... [more] |
ME2024-3
pp.8-11 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
MMS2021-11 ME2021-11 AIT2021-11
pp.53-58 |
| HI, 3DMT |
2020-03-11
12:30 |
Tokyo |
Kogakuin Univ. Tokyo Urban Tech Tower Campus
(Cancelled) |
Higher-order textures that attract attention
-- Pop-out of material surfaces --
Kento Yoneoka (Tsukuba Univ.), Nobuhiko Wagatsuma (Toho Univ.), Ko Sakai (Tsukuba Univ.) |
Pop-out among textures depends on low-lever image features and has been known as an outcome of the neural mechanisms und... [more] |
HI2020-50 3DIT2020-1
pp.1-2 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:35 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130 |
| AIT, IIEEJ, AS |
2015-03-14
14:45 |
Tokyo |
|
Consideration of Effects to Average Face Caused by Image Features
Kiyotsugu Sato (CIT), Shugo Kuwatani, Kazuo Ohzeki (SIT) |
Typically, the average face is created by processing the shape and texture of the two faces to 1/2. However, in practice... [more] |
AIT2015-72
pp.131-132 |
| HI, CE, IEICE-HIP [detail] |
2010-10-15
09:00 |
Miyagi |
RIEC, Tohoku Univ. |
Statistical Analysis for the Discrimination of Morphologically Generated Texture
-- Influences of Viewing Distance, Changing Order of Viewing Positions, Gender, and Prior Knowledge --
Liang Li, Akira Asano (Hiroshima Univ.), Chie Muraki Asano (Yasuda Women's Univ.), Katsunori Okajima (Yokohama National Univ.) |
In this paper, an analysis method of the effect of several factors
such as viewing distance in texture perception using... [more] |
|