PPT-Interactive 3D Modeling of Indoor Environments with a Consu

Author : danika-pritchard | Published Date : 2017-01-26

Hao Du 3 Peter Henry 1 Xiaofeng Ren 2 Marvin Cheng 1 Dan B Goldman 4 Steven M Seitz 1 Dieter Fox 12 1 University of Washington Computer Science amp Engineering

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Interactive 3D Modeling of Indoor Enviro..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Interactive 3D Modeling of Indoor Environments with a Consu: Transcript


Hao Du 3 Peter Henry 1 Xiaofeng Ren 2 Marvin Cheng 1 Dan B Goldman 4 Steven M Seitz 1 Dieter Fox 12 1 University of Washington Computer Science amp Engineering. About the IAB Rich Media AJAX Working Group The IAB Rich Media AJAX Working Group consist of ke y IAB member companies working together in order to create best practices aimed at standard izing the interface between rich media ads and sites that l of Computer Science and Engineering National Institute of Technology Tiruchirapalli Dept of Electronics and Communication Engineering National Institute of Technology Tiruchirapalli Dept of Computer Science and Engineering Recon64257gurable and Inte Unfortunately current geometric acoustic modeling systems do not accurately simulate reverberant sound Instead they model only direct transmission and specular re64258ection while diffraction is either ignored or modeled through statistical approx i    Indoor and Outdoor Sources Combustion Byproducts Non-Combustion Sources   \n \r  \r          \r  \r  \r \r  Young Min Kim . Stanford University. Niloy. J. . Mitra. UCL. / KAUST. Dong-Ming Yan. KAUST. Leonidas. . Guibas. Stanford University. 1. Data Acquisition via Microsoft . Kinect. Raw data:. Noisy point clouds. Indoor Air Quality. Indoor Air Pollution. Indoor air contains higher concentrations of pollutants than outdoor air (up to 70x). Indoor air pollution usually is a greater threat to human health than outdoor air pollution..      Access to Gravity Modeling Database ................................................................................................... 3Selecting Dataset ............... Jonathan Gagnon. Eric Paquette. Icy challenges. Goal. Control. Fast computation. 2. J. Gagnon & E. Paquette. photograph. Overview. Previous work. Proposed . approach. Results. Limitations & Conclusion. Past, Present, & Future. ACAMIS Leadership Conference. March. . 2016. Essential Questions. What was ISB’s Indoor Air Quality (IAQ) program prior to 2013?. What data was collected in 2013 to help guide facilities and IAQ projects?. Peter A Shelling CSP CIEC. Why is Indoor Air Quality (IAQ) a problem now? . People spend more time indoors than ever before . . (90% for most Americans.) . Building design and materials. Energy efficiency. Updates. VAP CP Training. October 27, 2015. Audrey Rush. Ohio EPA DERR. audrey.rush@epa.ohio.gov. US EPA’s Vapor Intrusion Guidance. OSWER Technical Guide for Assessing and Mitigating the Vapor Intrusion Pathway from Subsurface Vapor Sources to Indoor Air, June 2015 – Final Guidance. LampSite is a Huawei-developed leading in-depth coverage solution. This solution adopts BBU RRU architecture, of which the base station consists of a baseband processing unit (BBU), pico remote radio unit (pRRU), and RRU HUB (RHUB). As a new platform to allow indoor solutions to evolve to LTE, LampSite is easy to deploy, supports smooth evolution, and allows high network performance and huge capacity. Therefore, it is ideal for large and medium indoor scenarios, like large office buildings, large venues, and transport hubs. . for Extreme Large-Scale Computations . Katarzyna. Rycerz. 1. , . Piotr. Nowakowski. 2. , Jan Meizner. 2. , . Bartosz. Wilk. 2. , . Jakub. Bujas. 1. , . Łukasz. Jarmocik. 1. , . Michał. Krok. Bo-Sheng Chen. 1. ,. . Chi-Han Peng. 1. 1. National Yang Ming . Chiao. Tung University (NYCU), Taiwan. Estimating the relative camera poses between two . sparse. 360° panoramas is very difficult for both traditional 8-point methods and neural networks. However, .

Download Document

Here is the link to download the presentation.
"Interactive 3D Modeling of Indoor Environments with a Consu"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents