SPH Solvers and related

Resources:
[1] Code Catalog https://spheric-sph.org/sph-projects-and-codes
[2] GPUSPH https://www.gpusph.org/downloads/
Not compile by g++>4.9 (require Cuda)

$git clone https://github.com/gpusph/gpusph.git

$CC=/usr/bin/gcc-4.9 CXX=/usr/bin/g++-4.9 make

$make

[3] Crixus(Boundary definition) https://github.com/Azrael3000/Crixus

[4] C++ library that enables computations over a set of particles or points in N-dimensional space (cell list, kd-tree or hyper oct-tree) https://github.com/aboria/Aboria
[5] Previous to Aboria https://github.com/martinjrobins/SPH-DEM

Ocean References - Sources

https://www.fxguide.com/fxfeatured/siggraph-day-1-and-digipro/
ocean android https://arm-software.github.io/opengl-es-sdk-for-android/ocean_f_f_t.html
blender flip https://blendermarket.com/posts/flip-fluids-10-tips-to-improve-your-blender-workflow
standfor physic animation http://physbam.stanford.edu/

fast gpu fluid gvdb http://www.cs.utah.edu/~kwu/gvdb_sim.html

cuda openpbd http://joelgross.me/projects/pbf.html

others
[1] https://www.cs.cmu.edu/~kmcrane/Projects/GPUFluid/
[2] https://www.yiningkarlli.com/projects/arielflip.html
[3] https://developer.nvidia.com/nvidia-flow
[4] https://github.com/rlguy/Blender-FLIP-Fluids
[5] http://www.smart-coding.net/tag/irregular-sea-wave/
[6] http://revers.keep.pl/
[7] https://developer.nvidia.com/content/fluid-simulation-alice-madness-returns
[8] http://peterkutz.com/sph/

Ocean video references

[1] Ocen waves california  https://www.youtube.com/watch?v=zmPzbZVUp3g
[2] https://www.youtube.com/watch?v=WHPEKLQID4U
[3] https://www.youtube.com/watch?v=E7qRkUYu580
[4] https://www.youtube.com/watch?v=AbkWDDmV7-M
https://www.youtube.com/watch?v=5PyLgaqvYhA
https://www.youtube.com/watch?v=WxfmULzzKoU
https://www.youtube.com/watch?v=WxfmULzzKoU

Latex tools

Resources:
[1] Mathpix https://snapcraft.io/mathpix-snipping-tool
                    https://snapcraft.io/install/mathpix-snipping-tool/ubuntu
[2]

E Learning Resources

Free
[1] Stepic + code revisor (multilanguage) https://stepik.org/

https://github.com/AndrewLrrr/stepik-python-basics-and-application-course
https://github.com/luxnlex/stepic-python

To read

https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=12140@1
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=11074@2

Code:

 [3] https://github.com/NCCA/NGL
 https://www.sidefx.com/download/houdini-for-linux/
 [4] SPH/Muller https://github.com/bigthetaio/mueller-sph
       Tutorial https://bigtheta.io/2017/07/08/implementing-sph-in-2d.html
       Dependences: 
       sudo apt install freeglut3-dev
       sudo apt install libeigen3-dev
Surface Reconstruction :
[1] Detail Preserved Surface Reconstruction from
Point Cloud
{2}Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
https://math.berkeley.edu/~sethian/2006/Papers/sethian.annualreview.2003.pdf
https://ascelibrary.org/doi/10.1061/%28ASCE%29SU.1943-5428.0000159
 [3] surface reconstruction from volume fraction https://arxiv.org/pdf/1801.05382.pdf
[4] Level Set methods for fluid interfaces https://www.ljll.math.upmc.fr/~frey/ftp/NM491/11.Sethian%20J.A.,%20Smereka%20P.,%20Level%20set%20methods%20for%20fluid%20interfaces.pdf

Write Scheme
[1] Fluid Simulation on AR https://cgl.ethz.ch/Downloads/Publications/Papers/2019/Tia19a/Tia19a.pdf


Model 3D:
Scene to 3D pose model
https://www.profillic.com/paper/arxiv:1907.11346


Thesis:
 [0]  https://nccastaff.bournemouth.ac.uk/jmacey/MastersProjects/
 [1] Position Based Fluid https://nccastaff.bournemouth.ac.uk/jmacey/MastersProjects/MSc16/09/mpthesis.pdf
 [2] https://nccastaff.bournemouth.ac.uk/jmacey/MastersProjects/MSc18/07/M_Volpicelli_i7630684_MScMajorProject_Report.pdf
 [3] https://nccastaff.bournemouth.ac.uk/jmacey/MastersProjects/MSc16/15/thesis.pdf
 [4] Museth http://www.museth.org/Ken/Publications_files/meis2013_abstract_museth.pdf


Relate Concepts:

https://en.wikipedia.org/wiki/Volume_rendering
https://link.springer.com/chapter/10.1007/978-3-642-76286-4_5#citeas
https://arxiv.org/pdf/1812.04233.pdf
http://pages.mtu.edu/~chaoliw/research/vg05-pmvrt.pdf
http://idav.ucdavis.edu/~okreylos/ResDev/VolVis/index.html
http://faculty.cs.tamu.edu/schaefer/research/wavelet_rasterization.pdf
https://en.wikipedia.org/wiki/Rasterisation
https://en.wikipedia.org/wiki/Voxel
https://en.wikipedia.org/wiki/3D_rendering
https://en.wikipedia.org/wiki/3D_computer_graphics
https://en.wikipedia.org/wiki/Computer_animation

Others

 [2] mapreduce on Python http://hplgit.github.io/map-reduce4sci/doc/pub/MapReduce.html

Points processing and Modeling

Surface Points

Resources:
[1] HPR Python https://github.com/williamsea/Hidden_Points_Removal_HPR

References:
[1] http://www.weizmann.ac.il/math/ronen/sites/math.ronen/files/uploads/katz_tal_basri_-_direct_visibility_of_point_sets.pdf
[2] https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Katz_On_the_Visibility_ICCV_2015_paper.pdf
[3] 2010 binary orientation tree http://graphics.im.ntu.edu.tw/docs/pg10.pdf
[4] 2014 Image Space Rendering of Point Clouds Using the HPR Operator
[5] https://www.lcg.ufrj.br/thesis/renan-machado-silva-MSc.pdf

3D Modeling
[1] Benchmark http://caor-mines-paristech.fr/en/research/point-cloud-and-3d-modeling-pc3dm/
[2] CFD on 3D Point Set Surfaces http://caor-mines-paristech.fr/en/research/point-cloud-and-3d-modeling-pc3dm/
[3] 

Economia Perú

Grupo Romero
[1] 2010 https://perspectivainternational.wordpress.com/2010/03/06/perugrandes-negocios-del-oligarca-dionisio-romero/

Research proposal schemes

References:
[1] http://statpac.org/research-library/research-proposal.htm
[2] Dissertation https://academiccoachingandwriting.org/dissertation-doctor/resources/dissertation-proposal-outline
[3] http://www.philseflsupport.com/proposal_todissertation.htm

Interactive Maps and D3 and others

References:
[1] Image to map by Deep Learning https://ai.facebook.com/blog/mapping-roads-through-deep-learning-and-weakly-supervised-training/

Resources

[1] Just a map https://codepen.io/manishgolcha/post/world-map-using-d3-js
[2] Datamaps http://datamaps.github.io/
     Tutorial https://github.com/markmarkoh/datamaps/blob/master/README.md#getting-started

[3] Worldmap by cuntry tooltip http://bl.ocks.org/micahstubbs/8e15870eb432a21f0bc4d3d527b2d14f
[4] d3-zoom https://github.com/d3/d3-zoom


Free geocode
[1] Works using open street map https://opencagedata.com/api
      https://api.opencagedata.com/geocode/v1/json?q=São Paulo&key=8c0e3ccc191e41f38dd211fe50fb9eab

[2] Limited https://developer.here.com/documentation/maps/dev_guide/topics/quick-start.html

[3] Google not recommended https://developers.google.com/maps/documentation/geocoding/intro


Testing
https://blockbuilder.org/Ayumix01/984d70d411ea1d29f48b3963881a5618
 https://medium.com/@ttemplier/map-visualization-of-open-data-with-d3-part3-db98e8b346b3
http://datawanderings.com/2018/10/28/making-a-map-in-d3-js-v-5/
https://github.com/ivan-ha/d3-hk-map

Avatar Lectures

Resources:

[1] Avatar SDK https://avatarsdk.com/
     https://webdemo.avatarsdk.com/
[2] https://neurohive.io/en/state-of-the-art/realistic-3d-avatars-from-a-single-image/
[3] https://neurohive.io/en/computer-vision/head-reconstruction-from-internet-photos/
[4] https://neurohive.io/en/state-of-the-art/learning-3d-face-morphable-model-out-of-2d-images/
[5] https://neurohive.io/en/state-of-the-art/method-for-automatic-forensic-facial-reconstruction/
[6] https://sketchfab.com/
[7] https://www.loomai.com/