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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* [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] | ||
− | ==Development | + | ==Research and Development Focus== |
− | * [https://blog.elphel.com/2018/ | + | === Passive 3D Reconstruction and Long Ranging=== |
− | * [https://blog.elphel.com/2018/ | + | * [https://blog.elphel.com/category/3d/ 3D Reconstruction and Ranging] |
− | * [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ Capturing Aircraft Position with the Long Range Quad Stereo Camera] | + | === FPGA-RTL-ASIC: Efficient Implementation of Frequency Domain Processing === |
+ | * [https://blog.elphel.com/category/rtl/ RTL] | ||
+ | === Calibration for Aberration Correction === | ||
+ | * [https://blog.elphel.com/category/calibration/ Calibration] | ||
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+ | |||
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+ | ==Development blog== | ||
+ | * [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/2018/07/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/2018/07/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/ <font size='2'>'''2018/05/06'''</font> Capturing Aircraft Position with the Long Range Quad Stereo Camera] | ||
+ | * [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] | ||
+ | * [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] | ||
+ | * [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] | + | * [https://www3.elphel.com/products Our multiple and single camera systems products] |
Latest revision as of 09:49, 31 July 2018
This page contains links relevant to Elphel presentation at CVPR 2018 Expo.
Contents
[hide]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
- 2018/07/21 CVPR 2018 – from Elphel’s perspective
- 2018/07/20 Two Dimensional Phase Correlation as Neural Network Input for 3D Imaging
- 2018/07/20 Reading quad stereo TIFF image stacks in Python and formatting data for TensorFlow
- 2018/05/06 Capturing Aircraft Position with the Long Range Quad Stereo Camera
- 2018/03/20 Dual Quad-Camera Rig for Capturing Image Sets
- 2018/02/05 High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network
- 2018/01/08 Efficient Complex Lapped Transform Implementation for the Space-Variant Frequency Domain Calculations of the Bayer Mosaic Color Images