Elphel (@ElphelCamera) profile picture

Elphel

@ElphelCamera

Elphel high performance hackable cameras are free software and open hardware designs

 Salt Lake City, UT
elphel.com
Joined September 2017
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Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)Photo by Elphel (@ElphelCamera)
How is this possible? en.dislikemeter.com/video/Rl…
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"Long Range 3D with Quadocular Thermal (LWIR) Camera" in arXiv: arxiv.org/pdf/1911.06975
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LWIR 3D perception: 10% accuracy at 30 meters with just 160x120 sensors, 56°HFOV, funded by @AF_SBIR_STTR blog.elphel.com/2019/08/tpne…
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First results of the photogrammetric calibration of the quad-LWIR camera - blog.elphel.com/2019/06/phot…
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See far with TPNET: a Tile Processor and a CNN Symbiosis arxiv.org/abs/1811.08032
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Reimplemented the Tile Processor (that we couple with NN) to run on GPU - 0.087 sec for four 5 MPix images: blog.elphel.com/2018/10/gpu-…
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We did it ! #neuralnetworks blog.elphel.com/2018/09/neur…
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We are looking for help from ML experts: blog.elphel.com/2018/07/two-… Description of the Python tools to import data sets: blog.elphel.com/2018/07/read…
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First experience with TF training on 2d correlation (1 batch = 1000 tiles): On-the-fly Python generation with feed_dict: 1.5 s/batch Dataset with 1-epoch (400MB) TFRecord: 0.1 s/batch Epoch in memory: 0.005 s/batch
No a perfect 3d-model - we never did it indoors, but this is how #CVPR2018 looks captured by Elphel camera: community.elphel.com/3d+biqu…
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We love #CVPR2018 Expo - the first exhibition we participated in where we did not have any problems explaining our projects
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While we continue to work on the multi-sensor camera (doubling number of sensors for the single-exposure HDR) and the ground truth data for the CNN training, we had fun with capturing aircraft position: blog.elphel.com/2018/05/capt…
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Elphel will present new cameras (including the one we are working on now) at #CVPR2018 (booth 132). As this event is held in Salt Lake City we welcome participants to visit Elphel office.
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Oleg added driver for the 14MPix MT9F002 sensor and explained how to add other ones. We have 18MPix AR1820 and 12 MPix CMV1200 SFEs in production. blog.elphel.com/2018/04/impl…
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Following the plan laid out in the earlier post we’ve built a camera rig for capturing training/testing image sets: blog.elphel.com/2018/03/dual…
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High Resolution Multi-Vew Stereo: Tile Processor and Convolutional Neural Network - blog.elphel.com/2018/02/high…
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Wrong way? blog.elphel.com/2018/01/phot…
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RTL code for the complex lapped transform for the Bayer mosaic color images requires almost 3 times less computational resources than that of the full RGB color data: blog.elphel.com/2018/01/effi…
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Updated Yocto build system for Elphel cameras: blog.elphel.com/2017/12/upda…
3-d printed 4-sensor multi-view stereo camera will soon be assembled from more precise and stable components: blog.elphel.com/2017/12/asse…
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