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Matthew Cook 0005

dblp:28/4203-5 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-3331-9363ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 67% Collaborative and social computing · 33%
Computer graphics and multimedia
2 papers
Virtual and augmented reality · 65% Computational photography and imaging · 27% Image and video processing · 8%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
remote collaboration
0.412019
Immersive Telepresence and Remote Collaboration using Mobile and Wearable Devices · IEEE Trans. Vis. Comput. Graph. 2019
Immersive interaction
telepresence
0.412019
Immersive Telepresence and Remote Collaboration using Mobile and Wearable Devices · IEEE Trans. Vis. Comput. Graph. 2019
Immersive interaction
virtual reality
0.412019
Immersive Telepresence and Remote Collaboration using Mobile and Wearable Devices · IEEE Trans. Vis. Comput. Graph. 2019
Virtual and augmented reality
augmented reality display
0.212016
Real-Time Radiometric Compensation for Optical See-Through Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2016
Virtual and augmented reality › augmented reality
optical see-through head-mounted display
0.212016
Real-Time Radiometric Compensation for Optical See-Through Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2016
Computational photography and imaging › projector-camera systems
radiometric compensation
0.212016
Real-Time Radiometric Compensation for Optical See-Through Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2016
Virtual and augmented reality › telepresence
immersive telepresence
0.112019
Immersive Telepresence and Remote Collaboration using Mobile and Wearable Devices · IEEE Trans. Vis. Comput. Graph. 2019
Image and video processing › color image processing
color correction
0.112016
Real-Time Radiometric Compensation for Optical See-Through Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2016

Methods — techniques the papers use, named apart from their topics

user study · 1.0spherical panoramic representation · 0.8gesture-based interaction · 0.8real-time radiometric compensation · 0.2
YearPublicationVenuePosition
2019 Immersive Telepresence and Remote Collaboration using Mobile and Wearable Devices
abstract
The mobility and ubiquity of mobile head-mounted displays make them a promising platform for telepresence research as they allow for spontaneous and remote use cases not possible with stationary hardware. In this work we present a system that provides immersive telepresence and remote collaboration on mobile and wearable devices by building a live spherical panoramic representation of a user's environment that can be viewed in real time by a remote user who can independently choose the viewing direction. The remote user can then interact with this environment as if they were actually there through intuitive gesture-based interaction. Each user can obtain independent views within this environment by rotating their device, and their current field of view is shared to allow for simple coordination of viewpoints. We present several different approaches to create this shared live environment and discuss their implementation details, individual challenges, and performance on modern mobile hardware; by doing so we provide key insights into the design and implementation of next generation mobile telepresence systems, guiding future research in this domain. The results of a preliminary user study confirm the ability of our system to induce the desired sense of presence in its users.
Jacob Young, Tobias Langlotz, Matthew Cook 0005, Steven Mills, Holger Regenbrecht
IEEE Trans. Vis. Comput. Graph.3
2016 Real-Time Radiometric Compensation for Optical See-Through Head-Mounted Displays
abstract
Optical see-through head-mounted displays are currently seeing a transition out of research labs towards the consumer-oriented market. However, whilst availability has improved and prices have decreased, the technology has not matured much. Most commercially available optical see-through head mounted displays follow a similar principle and use an optical combiner blending the physical environment with digital information. This approach yields problems as the colors for the overlaid digital information can not be correctly reproduced. The perceived pixel colors are always a result of the displayed pixel color and the color of the current physical environment seen through the head-mounted display. In this paper we present an initial approach for mitigating the effect of color-blending in optical see-through head-mounted displays by introducing a real-time radiometric compensation. Our approach is based on a novel prototype for an optical see-through head-mounted display that allows the capture of the current environment as seen by the user's eye. We present three different algorithms using this prototype to compensate color blending in real-time and with pixel-accuracy. We demonstrate the benefits and performance as well as the results of a user study. We see application for all common Augmented Reality scenarios but also for other areas such as Diminished Reality or supporting color-blind people.
Tobias Langlotz, Matthew Cook 0005, Holger Regenbrecht
IEEE Trans. Vis. Comput. Graph.2