Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tarek Stiebel"'
Autor:
Tarek Stiebel, Dorit Merhof
Publikováno v:
Sensors, Vol 20, Iss 20, p 5789 (2020)
Spectral reconstruction from RGB or spectral super-resolution (SSR) offers a cheap alternative to otherwise costly and more complex spectral imaging devices. In recent years, deep learning based methods consistently achieved the best reconstruction q
Externí odkaz:
https://doaj.org/article/14654d5ef342437ebc4b9cad6e7ac7e2
Autor:
Tarek Stiebel, Dorit Merhof
Publikováno v:
Color and Imaging Conference. 28:258-263
Autor:
Tarek Stiebel, Dorit Merhof
Publikováno v:
London Imaging Meeting. 1:134-138
Autor:
Tarek Stiebel, Dorit Merhof
Publikováno v:
Color and Imaging Conference. 26:134-139
Autor:
Tarek Stiebel, Dieter Geller, Thomas Gries, Dorit Merhof, Jonas Osburg, Oliver Rippel, Volker Lutz
Publikováno v:
ETFA
Seam stitches made by a computer program on a CNC sewing machine may be shifted from their desired positions due to the elasticity of thread and substrate material. The mismatch may lead to a visually inferior appearance of the resulting seam pattern
Autor:
Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu ZHU, Junhui HOU, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K Uma, D Synthiya Vinothini, B Sathya Bama, S M Md Mansoor Roomi
Publikováno v:
CVPR Workshops
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole- scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a "Clean" tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e50ad478df948cdbebb174500d1606c8
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
Publikováno v:
VISIGRAPP (4: VISAPP)
Publikováno v:
ETFA
Due to the elasticity of thread and tissue material, the stitches made by a computer program on a CNC sewing machine are shifted from their desired positions. The mismatch leads to a visually inferior appearance of the resulting thread pattern compar
Autor:
Boaz Arad, Dong Liu, Feng Wu, Charis Lanaras, Silvano Galliani, Konrad Schindler, Tarek Stiebel, Simon Koppers, Philipp Seltsam, Ruofan Zhou, Majed El Helou, Ohad Ben-Shahar, Fayez Lahoud, Marjan Shahpaski, Ke Zheng, Lianru Gao, Bing Zhang, Ximin Cui, Haoyang Yu, Yigit Baran Can, Aitor Alvarez-Gila, Joost van de Weijer, Radu Timofte, Estibaliz Garrote, Adrian Galdran, Manoj Sharma, Sriharsha Koundinya, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Himanshu Sharma, Santanu Chaudhury, Koushik Nagasubramanian, Luc Van Gool, Sambuddha Ghosal, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Lei Zhang, Ming-Hsuan Yang, Zhiwei Xiong, Chang Chen, Zhan Shi
Publikováno v:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ISBN:978-1-5386-6100-0
ISBN:978-1-5386-6100-0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f188b0528df64df0519a5aacfa92da3
Autor:
Tarek Stiebel, Dorit Merhof
Publikováno v:
ICCV Workshops
This paper analyzes the influence of multi-spectral imaging onto the severity of metamer mismatching, in particular in the context of color-accuracy of machine vision. Camera signals associated with simulated as well as real world multi-spectral imag