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Roger B. Hui

dblp:26/8692 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 44% Computational photography and imaging · 44% Virtual and augmented reality · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
interactive visualization
0.112010
A multimedia approach to visualize and interact with large scale mobile LiDAR data · ACM Multimedia 2010
Virtual and augmented reality › navigation
3d navigation
0.012010
A multimedia approach to visualize and interact with large scale mobile LiDAR data · ACM Multimedia 2010

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

viewpoint-based rendering · 0.1real-time data paging · 0.1
YearPublicationVenuePosition
2010 A multimedia approach to visualize and interact with large scale mobile LiDAR data
abstract
This paper presents a multimedia visualization tool for large-scale mobile LIDAR, panoramic imagery, high-resolution view targeted camera imagery, and GPS/IMU geo-location. A first of its kind system joins all sensor data providing a powerful tool for evaluation, validation, analysis and annotation. The viewer computes necessary real-time structures on the fly, which enables the user to view and annotate the entire dataset interactively. A viewpoint based multimedia integration of vehicle centerline map, video imagery, and LIDAR are displayed for navigation. The viewer automatically determines when to page data sets and which type of data to display. The user is able to measure and tag real world objects in 3D. A typical graphics card is capable of interactively presenting half terabyte data sets by intelligently controlling the timing and volume of data loading.
James D. Lynch 0001, Roger B. Hui
ACM Multimedia3
2009 Towards next-generation map making
abstract
In this paper, we present the image retrieval and computer vision applications implemented for massive mobile image data collection at NAVTEQ. This novel and comprehensive mobile data collection method captures ground level imageries around the world. Automatic image analysis and modeling provides NAVTEQ with next-generation map making capabilities. This allows NAVTEQ to exceed customers' expectations by creating and maintaining digital maps that are more timely, complete, accurate, and which contain richer content.
Matei Stroila, James D. Lynch 0001, Narayanan Alwar, Brad Kohlmeyer, Jeff Bach, Roger B. Hui
ICME7