Synchronization and Calibration of Camera Networks from Silhouettes submitted to ICPR’04. Sudipta N. Sinha Marc Pollefeys. Dept. of Computer Science, University of North Carolina at Chapel Hill. Abstract

Source URL: www.cs.unc.edu

• Fundamental matrix
• Video formats
• Video signal
• Homography
• Pose
• Silhouette
• Frame synchronization
• Video
• Tangent
• Geometry
• Computer vision
• Epipolar geometry

ND Parks & Recreation Department presents……. 50th Anniversary Photo Challenge Travel to four ND state parks, search for specific locations, pose for a photo and enter via email, Facebook or Twitter for your chance t

Source URL: www.parkrec.nd.gov

• Bismarck
• North Dakota
• Minot
• North Dakota
• Scheels All Sports
• Mandan
• Bottineau Winter Park
• Fort Abraham Lincoln
• Roosevelt Park
• Medora Musical
• Geography of North Dakota
• North Dakota
• Bismarck–Mandan

Estudo de caso Liga de Futebol Alemã STUTTGART, ALEMANHA - 10 DE AGOSTO: Pose para foto antes da partida de Bundesliga entre VfB Stuttgart e Schalke 04 no estádio Gottlieb-Daimler em 10 de agosto de 2007 em Stuttgart,

Source URL: mediamanager.gettyimages.com

Robot Placement based on Reachability Inversion Nikolaus Vahrenkamp, Tamim Asfour and R¨udiger Dillmann Institute for Anthropomatics Karlsruhe Institute of Technology Adenauerring 2, 76131 Karlsruhe, Germany Email: {vah

Source URL: wwwiaim.ira.uka.de

• Optics
• Graph connectivity
• Reachability
• Motion planning
• Humanoid robot
• Robot
• Industrial robot
• Voxel
• Pose
• Imaging
• Technology
• Robot kinematics

3D ACQUISITION OF ARCHAEOLOGICAL HERITAGE FROM IMAGES Marc Pollefeys, Maarten Vergauwen, Kurt Cornelis, Frank Verbiest, Joris Schouteden, Jan Tops, Luc Van Gool Center for Processing of Speech and Images, K.U.Leuven, Kas

Source URL: www.inf.ethz.ch

• Optics
• 3D computer graphics
• Cartography
• Geodesy
• Surveying
• Bundle adjustment
• 3D scanner
• Pose
• Structure from motion
• Computer vision
• Imaging
• Vision

2013 IEEE Conference on Computer Vision and Pattern Recognition SLAM++: Simultaneous Localisation and Mapping at the Level of Objects Renato F. Salas-Moreno1 1

Source URL: homes.cs.washington.edu

• Imaging
• Match moving
• Object recognition
• Augmented reality
• 3D single object recognition
• Pose
• Simultaneous localization and mapping
• Graph
• Depth map
• Computer vision
• Vision
• Artificial intelligence

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGEN

Source URL: cvcl.mit.edu

• Imaging
• Memory
• Visual memory
• LabelMe
• Aesthetics
• Pose
• Optics
• Vision
• Computer vision

Towards Urban 3D Reconstruction From Video A. Akbarzadeh∗ , J.-M. Frahm+ , P. Mordohai+ , B. Clipp+ , C. Engels∗ , D. Gallup+ , P. Merrell+ , M. Phelps∗ , S. Sinha+ , B. Talton+ , L. Wang∗ , Q. Yang∗ , H. Stewe

Source URL: www.cs.unc.edu

• Computer vision
• Match moving
• 3D scanner
• Stereoscopy
• Digital camera
• Pose
• Photogrammetry
• Range imaging
• Geographic information system
• Imaging
• Vision
• Optics

Accepted for ICPRAuto-Calibration of Multi-Projector Display Walls Andrew Raij and Marc Pollefeys {raij, marc}@cs.unc.edu Department of Computer Science, University of North Carolina at Chapel Hill

Source URL: www.inf.ethz.ch

• Robot control
• Homography
• Projective geometry
• Transformation
• Pose
• LCD projector
• Geometry
• Projectors
• Computer vision

Calibration Revisited Jan Kodovský Jessica Fridrich SUNY Binghamton

Source URL: www.ws.binghamton.edu

• Steganography
• Computer vision
• Steganalysis
• JPEG
• Embedding
• Discrete cosine transform
• Pose
• Calibrated geometry
• Before Present
• Mathematics
• Mathematical analysis
• Topology