104,501 research outputs found
Semantic 3D Occupancy Mapping through Efficient High Order CRFs
Semantic 3D mapping can be used for many applications such as robot
navigation and virtual interaction. In recent years, there has been great
progress in semantic segmentation and geometric 3D mapping. However, it is
still challenging to combine these two tasks for accurate and large-scale
semantic mapping from images. In the paper, we propose an incremental and
(near) real-time semantic mapping system. A 3D scrolling occupancy grid map is
built to represent the world, which is memory and computationally efficient and
bounded for large scale environments. We utilize the CNN segmentation as prior
prediction and further optimize 3D grid labels through a novel CRF model.
Superpixels are utilized to enforce smoothness and form robust P N high order
potential. An efficient mean field inference is developed for the graph
optimization. We evaluate our system on the KITTI dataset and improve the
segmentation accuracy by 10% over existing systems.Comment: IROS 201
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable for
immersive Augmented and Virtual Reality (AR/VR) applications, but achieving
instant (i.e., < 5 seconds) on-device NeRF training remains a challenge. In
this work, we first identify the inefficiency bottleneck: the need to
interpolate NeRF embeddings up to 200,000 times from a 3D embedding grid during
each training iteration. To alleviate this, we propose Instant-3D, an
algorithm-hardware co-design acceleration framework that achieves instant
on-device NeRF training. Our algorithm decomposes the embedding grid
representation in terms of color and density, enabling computational redundancy
to be squeezed out by adopting different (1) grid sizes and (2) update
frequencies for the color and density branches. Our hardware accelerator
further reduces the dominant memory accesses for embedding grid interpolation
by (1) mapping multiple nearby points' memory read requests into one during the
feed-forward process, (2) merging embedding grid updates from the same sliding
time window during back-propagation, and (3) fusing different computation cores
to support the different grid sizes needed by the color and density branches of
Instant-3D algorithm. Extensive experiments validate the effectiveness of
Instant-3D, achieving a large training time reduction of 41x - 248x while
maintaining the same reconstruction quality. Excitingly, Instant-3D has enabled
instant 3D reconstruction for AR/VR, requiring a reconstruction time of only
1.6 seconds per scene and meeting the AR/VR power consumption constraint of 1.9
W.Comment: Accepted by ISCA'2
A Learning Game For Youth Financial Literacy Education In The Teen Grid Of Second Life Three-Dimensional Virtual Environment
Game-like three-dimensional (3D) virtual worlds have become popular venues for youth to explore and interact with friends. To bring vital financial literacy education to them in places they frequent, a multi-disciplinary team of computer scientists, educators, and financial experts developed a youth-oriented financial literacy education game in the Teen Grid of Second Life 3D online virtual world. This paper presents the design and development process of this financial literacy education game, its learning effectiveness in classrooms, and lessons learned from the process
VisIVO - Integrated Tools and Services for Large-Scale Astrophysical Visualization
VisIVO is an integrated suite of tools and services specifically designed for
the Virtual Observatory. This suite constitutes a software framework for
effective visual discovery in currently available (and next-generation) very
large-scale astrophysical datasets. VisIVO consists of VisiVO Desktop - a stand
alone application for interactive visualization on standard PCs, VisIVO Server
- a grid-enabled platform for high performance visualization and VisIVO Web - a
custom designed web portal supporting services based on the VisIVO Server
functionality. The main characteristic of VisIVO is support for
high-performance, multidimensional visualization of very large-scale
astrophysical datasets. Users can obtain meaningful visualizations rapidly
while preserving full and intuitive control of the relevant visualization
parameters. This paper focuses on newly developed integrated tools in VisIVO
Server allowing intuitive visual discovery with 3D views being created from
data tables. VisIVO Server can be installed easily on any web server with a
database repository. We discuss briefly aspects of our implementation of VisiVO
Server on a computational grid and also outline the functionality of the
services offered by VisIVO Web. Finally we conclude with a summary of our work
and pointers to future developments
G3DV: A new 3D genome browser and experimental data viewer.
Genomes are tremendous co-evolutionary holistic systems for molecular storage, processing and fabrication of
information. Their system-biological complexity remains, however, still largely mysterious, despite immense
sequencing achievements and huge advances in the understanding of the general sequential, three-dimensional
and regulatory organization. Here, we present the GLOBE 3D Genome Platform a completely novel grid based
virtual “paper” tool and in fact the first system-biological genome browser integrating the holistic complexity of
genomes in a single easy comprehensible platform: Based on a detailed study of biophysical and IT
requirements, every architectural level from sequence to morphology of one or several genomes can be
approached in a real and in a symbolic representation simultaneously and navigated by continuous scale-free
zooming within a unique three-dimensional OpenGL and grid driven environment. In principle an unlimited
number of multi-dimensional data sets can be visualized, customized in terms of arrangement, shape, colour, and
texture etc. as well as accessed and annotated individually or in groups using internal or external data
bases/facilities. Any information can be searched and correlated by importing or calculating simple relations in
real-time using grid resources. A general correlation and application platform for more complex correlative
analysis and a front-end for system-biological simulations both using again the huge capabilities of grid
infrastructures is currently under development. Hence, the GLOBE 3D Genome Platform is an example of a grid
based approach towards a virtual desktop for genomic work combining the three fundamental distributed
resources: i) visual data representation, ii) data access and management, and iii) data analysis and creation. Thus,
the GLOBE 3D Genome Platform is the novel system-biology oriented information system urgently needed to
access, present, annotate, and to simulate the holistic genome complexity in a unique gateway towards a real
understanding, educative presentation and curative manipulation planning of this tremendous evolutionary
information grail – genomes
The system-biological GLOBE 3D Genome Platform.
Genomes are tremendous co-evolutionary holistic systems for molecular storage, processing and fabrication of information. Their system-biological complexity remains, however, still largely mysterious, despite immense sequencing achievements and huge advances in the understanding of the general sequential, three-dimensional and regulatory organization. Here, we present the GLOBE 3D Genome Platform a completely novel grid based virtual “paper” tool and in fact the first system-biological genome browser integrating the holistic complexity of genomes in a single easy comprehensible platform: Based on a detailed study of biophysical and IT requirements, every architectural level from sequence to morphology of one or several genomes can be approached in a real and in a symbolic representation simultaneously and navigated by continuous scale-free zooming within a unique three-dimensional OpenGL and grid driven environment. In principle an unlimited number of multi-dimensional data sets can be visualized, customized in terms of arrangement, shape, colour, and texture etc. as well as accessed and annotated individually or in groups using internal or external data bases/facilities. Any information can be searched and correlated by importing or calculating simple relations in real-time using grid resources. A general correlation and application platform for more complex correlative analysis and a front-end for system-biological simulations both using again the huge capabilities of grid infrastructures is currently under development. Hence, the GLOBE 3D Genome Platform is an example of a grid based approach towards a virtual desktop for genomic work combining the three fundamental distributed resources: i) visual data representation, ii) data access and management, and iii) data analysis and creation. Thus, the GLOBE 3D Genome Platform is the novel system-biology oriented information system urgently needed to access, present, annotate, and to simulate the holistic genome complexity in a unique gateway towards a real understanding, educative presentation and curative manipulation planning of this tremendous evolutionary information grail – genomes
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Spatial calibration of an optical see-through head-mounted display
We present here a method for calibrating an optical see-through Head Mounted Display (HMD) using techniques usually applied to camera calibration (photogrammetry). Using a camera placed inside the HMD to take pictures simultaneously of a tracked object and features in the HMD display, we could exploit established camera calibration techniques to recover both the intrinsic and extrinsic properties of the~HMD (width, height, focal length, optic centre and principal ray of the display). Our method gives low re-projection errors and, unlike existing methods, involves no time-consuming and error-prone human measurements, nor any prior estimates about the HMD geometry
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