Amanote Research

Amanote Research

    RegisterSign In

Recovery and Reasoning About Occlusions in 3D Using Few Cameras With Applications to 3D Tracking

International Journal of Computer Vision - Netherlands
doi 10.1007/s11263-011-0446-y
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer VisionPattern RecognitionArtificial IntelligenceSoftware
Date

April 22, 2011

Authors
Mark KeckJames W. Davis
Publisher

Springer Science and Business Media LLC


Related search

3D Occlusion Recovery Using Few Cameras

2008English

Density Discrimination With Occlusions in 3D Clutter

Journal of Vision
OphthalmologySensory Systems
2019English

High-Resolution 3D Object Reconstruction Using Multiple Cameras

Journal of the Institute of Electronics and Information Engineers
2013English

Subject-Specific Body Segment Parameter Estimation Using 3D Photogrammetry With Multiple Cameras

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2015English

3D Cellular-Resolution Imaging in Arteries Using Few-Mode Interferometry

Light: Science and Applications
OpticsMolecular Physics,OpticalAtomicMagnetic MaterialsElectronic
2019English

Object Recognition in 3D Scenes With Occlusions and Clutter by Hough Voting

2010English

Distributed System for 3D Remote Monitoring Using KINECT Depth Cameras

2014English

3D Head Tracking Using Non-Linear Optimization

2003English

3D Localization and Tracking of Objects Using Miniature Microphones

Wireless Sensor Network
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy