'Point clouds' presentation slideshows

Spectral surface reconstruction

Spectral surface reconstruction. Reporter: Lincong Fang 24th Sep, 2008. Point clouds. Surface reconstruction. Unorganized Unoriented (no oriented normals) Non-uniform, sparse sampling Possibly with noise. Applications. Computer Graphics Medical Imaging Computer-aided Design

875 views • 54 slides

Interactive Methods in Scientific Visualization

702 views • 51 slides

P roximity Computations between Noisy Point Clouds using Robust Classification

P roximity Computations between Noisy Point Clouds using Robust Classification. 1 J ia Pan, 2 Sachin Chitta , 1 Dinesh Manocha 1 UNC C hapel Hill 2 Willow Garage. http://gamma.cs.unc.edu/POINTC/. M ain Result.

682 views • 49 slides

Computational Topology for Reconstruction of

Computational Topology for Reconstruction of. Manifolds With Boundary. (Potential Applications to Prosthetic Design). T. J. Peters, University of Connecticut Computer Science Mathematics www.cse.uconn.edu/~tpeters with K. Abe, J. Bisceglio, A. C. Russell, T. Sakkalis, D. R. Ferguson.

462 views • 37 slides

3D Sensing and Mapping

3D Sensing and Mapping. Intelligent Robotics Spring 2014 Kris Hauser. Agenda. A high-level overview of visual sensors and perception algorithms Core concepts Camera / p rojective geometry Point clouds Occupancy grids Iterative closest points algorithm.

480 views • 32 slides

The Intrinsic Shape of Point Clouds Stefan Ohrhallinger Ph.D. Defence, July 12, 2012

533 views • 32 slides

186.162 Seminar (mit Bachelorarbeit) 186.175 Seminar aus Computergraphik SS 2011

186.162 Seminar (mit Bachelorarbeit) 186.175 Seminar aus Computergraphik SS 2011. Organizers: Matthias Bernhard, Thomas Auzinger Teaching staff: M.Wimmer, O.Mattausch, S.Jeschke, R.Habel, C.Scheiblauer, M. Knecht, M.Ilcik, P.Guerrero, M. Arikan, R. Preiner, T. Sturn.

480 views • 31 slides

National Energy Research Scientific Computing Center (NERSC) Visualization Highlights

National Energy Research Scientific Computing Center (NERSC) Visualization Highlights Cristina Siegerist NERSC Center Division, LBNL October 4, 2005. Visualization Highlights: Visualization of 3D Reconstructions of Electron Tomography Data Ken Downing, Life Sciences Division, LBNL.

395 views • 29 slides

Data Management of Large 3D Urban Scenes

Data Management of Large 3D Urban Scenes. Xavier Lopez Oracle, Inc. USA. 3D Data Management. <Insert Picture Here>. Technology Drivers Use Cases for 3D Data Management Overview of Spatial Databases Wrap-up. Technology & Business Drivers. Massive new sensor hardware capabilities

400 views • 24 slides

David Doria

Enhancing PCL Usability: A GUI Front-End, Interfacing with VTK, Image Processing on Point Clouds, and More!. David Doria. GSoC Projects. Web-based applications. Object Reconstruction. Recognition module improvements. New feature descriptors. Segmentation Algorithms.

390 views • 24 slides

Evolution of Photogrammetry

Evolution of Photogrammetry. Thomas Koch. Photogrammetry Today. A broader variety of applications require geospatial data. Acquisition Processing Analysis Data hosting. Needs to specialize!. Data Acquisition.

542 views • 21 slides

3D Puppetry: A Kinect-based Interface for 3D Animation

400 views • 20 slides

Temporally Coherent Completion of Dynamic Shapes

Temporally Coherent Completion of Dynamic Shapes. AUTHORS:HAO LI,LINJIE LUO,DANIEL VLASIC PIETER PEERS,JOVAN POPOVIC,MARK PAULY,SZYMON RUSINKIEWICZ Presenter:Zoomin(Zhuming) Hao. Previous Work. 1.Based on Template How to obtain the template? ? a separate rigid reconstruction step

348 views • 20 slides

Topics Project Group WS 2014/2015

Topics Project Group WS 2014/2015. Research Staff of Computer Graphics Departement Institute of Computer Science II Computer Graphics. Seminar / Lab / Project Group Topics. Interactive 3D Graphics (Advisor: Christoph Peters, peters@cs ...) Textures

337 views • 20 slides

3D Building Reconstruction from LiDAR Data.

Our approach A data driven approach that determines building parameters from the LiDAR point cloud. No initial model is assumed, except that the roof consists of planar regions only. A data-mining approach is employed to extract information.

696 views • 18 slides

What Are The Grand Challenges in Geographic Information Science?

What Are The Grand Challenges in Geographic Information Science? Results from the NSF Workshop on Geospatial & Geotemporal Informatics Peggy Agouris Dept. of Geography and Geoinformation Science Center for Earth Observing and Space Research George Mason University pagouris@gmu.edu.

344 views • 17 slides

Giovanna Sansoni 1 , Simone Carmignato 2 , Enrico Savio 2

Validation of the Measurement Performance of a 3-D Vision Sensor by means of a Coordinate Measuring Machine. Giovanna Sansoni 1 , Simone Carmignato 2 , Enrico Savio 2 1 Laboratory of Optoelectronics, DEA - Dept. of Electronics for the Automation University of Brescia, Italy

362 views • 17 slides

Figure 6.1 A scan (or point cloud) created by a laser scanner.

Figure 6.1 A scan (or point cloud) created by a laser scanner. Figure 6.2 The wall surface in (a) is analyzed according to (b) data density, (c) occlusion regions, (d) data uncertainty, and (e) deviation from the ideal planar wall. (a). (b). (c). (d). (e).

177 views • 8 slides

Snow depth reconstruction using UAV-based Lidar and Photogrammetry

179 views • 1 slides