Zobrazeno 1 - 10
of 71
pro vyhledávání: '"John M. Gauch"'
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
ICPR Workshops (7)
This paper is about the creation of an interactive software tool and dataset useful for exploring the unindexed 11-volume set, Pompei: Pitture e Mosaici (PPM), a valuable resource containing over 20,000 annotated historical images of the archaeologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a67f7d923fbc2dcf38e2b357ff4f403
https://doi.org/10.1007/978-3-030-68787-8_13
https://doi.org/10.1007/978-3-030-68787-8_13
Publikováno v:
Journal of Infrared, Millimeter, and Terahertz Waves. 38:766-786
This work presents the application of terahertz imaging to three-dimensional formalin-fixed, paraffin-embedded human breast cancer tumors. The results demonstrate the capability of terahertz for in-depth scanning to produce cross section images witho
Autor:
John M. Gauch, Lora Streeter
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030490614
HCI (2)
HCI (2)
The goal of this research is to find an algorithm that is capable of recognizing gestures drawn in a visual and gesture-driven interface used to teach introductory programming concepts. Our system combines components from Google’s Blockly, a visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d462de533564fd03742225d837befd0
https://doi.org/10.1007/978-3-030-49062-1_9
https://doi.org/10.1007/978-3-030-49062-1_9
Publikováno v:
GREC@ICDAR
"Pompei: pitture e mosaici" is a valuable set of volumes containing over 20,000 historical annotated images of the archaeological site of Pompeii, Italy. Our project consists of extracting, archiving, analyzing and classifying all the image data from
Autor:
Lora Streeter, John M. Gauch
Publikováno v:
HCI International 2018 – Posters' Extended Abstracts ISBN: 9783319922843
HCI (30)
HCI (30)
The goal of our research is to create and evaluate a visual and gesture-driven interface to teach computer programming to non-traditional programmers, typically school-age children. By making the interface more enjoyable for young students, we hope t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c228fe84125342eced25895ca1ef7a3
https://doi.org/10.1007/978-3-319-92285-0_17
https://doi.org/10.1007/978-3-319-92285-0_17
Publikováno v:
Optical Interactions with Tissue and Cells XXVII.
This paper evaluates image enhancement and visualization techniques for pulsed terahertz (THz) images of tissue samples. Specifically, our research objective is to effectively differentiate between heterogeneous regions of breast tissues that contain
Publikováno v:
2015 40th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz).
This research represents experimental use of a pulsed terahertz time-domain imaging system to obtain time of flight (in-depth) reflection scans from three-dimensional ex-vivo breast cancer tumor tissue. Image processing and volumetric techniques are
Autor:
John M. Gauch, Abhishek Shivadas
Publikováno v:
Computer Vision and Image Understanding. 103:80-88
Automated commercial detection can be performed by matching features extracted from commercials or by detecting embedded codes that are hidden within the commercial. In both cases, it is necessary to create a database of known commercials that contai
Autor:
Joseph H. Maino, Manoj Sharma, John M. Gauch, Denise Gobert, George T. Timberlake, Susan A. Grose
Publikováno v:
Optometry and Vision Science. 82:E177-E187
Purpose It is difficult to determine the position of a preferred retinal locus (PRL) relative to the fovea in scanning laser ophthalmoscope (SLO) images as a result of disease-related retinal morphologic changes that obscure the fovea. To overcome th
Publikováno v:
Computer Vision and Image Understanding. 93:310-327
In this paper, we present a real time system for detecting repeated video clips from a live video source such as news broadcasts. Our system utilizes customized temporal video segmentation techniques to automatically partition the digital video signa