Difference between revisions of "CVPR2018"

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This page contains links relevant to Elphel presentation at CVPR 2018 Expo.
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==Presentation==
 
==Presentation==
 
* [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)]
 
* [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)]
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==3D models demo and image sets==
 
==3D models demo and image sets==
 
* [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad]
 
* [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad]
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==Research and Development Focus==
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=== Passive 3D Reconstruction and Long Ranging===
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* [https://blog.elphel.com/category/3d/ 3D Reconstruction and Ranging]
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=== FPGA-RTL-ASIC: Efficient Implementation of Frequency Domain Processing ===
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* [https://blog.elphel.com/category/rtl/ RTL]
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=== Calibration for Aberration Correction ===
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* [https://blog.elphel.com/category/calibration/ Calibration]
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==Development blog==
 
==Development blog==
* [https://blog.elphel.com/2018/01/complex-lapped-transform-bayer/ 2018/01/08 Efficient Complex Lapped Transform Implementation for the Space-Variant Frequency Domain Calculations of the Bayer Mosaic Color Images]
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* [https://blog.elphel.com/2018/07/cvpr-2018-from-elphels-perspective/ <font size='2'>'''2018/07/21'''</font> CVPR 2018 – from Elphel’s perspective]
* [https://blog.elphel.com/2018/02/high-resolution-multi-vew-stereo-tile-processor-and-convolutional-neural-network/ 2018/02/05 High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network]
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* [https://blog.elphel.com/2018/07/two-dimensional-phase-correlation-as-neural-network-input-for-3d-imaging/ <font size='2'>'''2018/07/20'''</font> Two Dimensional Phase Correlation as Neural Network Input for 3D Imaging]
* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ (2018/03/20) Dual Quad-Camera Rig for Capturing Image Sets]
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* [https://blog.elphel.com/2018/07/reading-quad-stereo-tiff-image-stacks-in-python-and-formatting-data-for-tensorflow/ <font size='2'>'''2018/07/20'''</font> Reading quad stereo TIFF image stacks in Python and formatting data for TensorFlow]
* [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ (2018/05/06) Capturing Aircraft Position with the Long Range Quad Stereo Camera]
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* [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ <font size='2'>'''2018/05/06'''</font> Capturing Aircraft Position with the Long Range Quad Stereo Camera]
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* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ <font size='2'>'''2018/03/20'''</font> Dual Quad-Camera Rig for Capturing Image Sets]
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* [https://blog.elphel.com/2018/02/high-resolution-multi-vew-stereo-tile-processor-and-convolutional-neural-network/ <font size='2'>'''2018/02/05'''</font> High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network]
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* [https://blog.elphel.com/2018/01/complex-lapped-transform-bayer/ <font size='2'>'''2018/01/08'''</font> Efficient Complex Lapped Transform Implementation for the Space-Variant Frequency Domain Calculations of the Bayer Mosaic Color Images]
  
 
==Products==
 
==Products==
* [https://www3.elphel.com/products Our products]
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* [https://www3.elphel.com/products Our multiple and single camera systems products]

Latest revision as of 08:49, 31 July 2018

This page contains links relevant to Elphel presentation at CVPR 2018 Expo.

Presentation

3D models demo and image sets

Research and Development Focus

Passive 3D Reconstruction and Long Ranging

FPGA-RTL-ASIC: Efficient Implementation of Frequency Domain Processing

Calibration for Aberration Correction


Development blog

Products