For one of the latest projects I was working with Drew and Maxime we were working on a virtual try on used to test headphones sets using AR, the app was based on the Beyond Reality Face Tracking library used to make real time face tracking from a video feed. This library provides a complete solution called ARTO which provides very nice results in terms on 3d positioning and compositing elements with the video from a webcam.
The idea is to use an occlusion mesh that hides the parts from the ...
(more...)Before reading any further…
The author assumes that the reader understands the implementation of the marching cubes algorithm in the CPU, also has knowledge on how to perform a stream compaction over a texture using histopyramids. Please refer to http://paulbourke.net/geometry/polygonise/ and http://www.miaumiau.cat/2016/10/stream-compaction-in-webgl/ for more information about these subjects.
Marching Cubes Steps:
The marching cubes algorithm can be separated in two steps which are t ...
(more...)In order to render fluids in webGL from particles simulations, an implicit surface method has to be used to create a mesh from a point cloud that represents the current state of the simulation on each frame. To do so there are many algorithms that can be applied, being the Marching Cubes a good approach for webGL since its implementation can take advantage of histopyramids to accelerate the process in the GPU.
This algorithm is an iso surface extraction method from a potential field that uses ...
(more...)One of the big limitations when doing GPGPU computing is that since the architecture is designed to work on parallel, re arranging or compacting data is a non trivial task on the GPU, to overcome this limitation different stream compaction methods have been created, being histopyramids the algorithm that will be discussed in this post. Histopyramids are useful since it allows to allocate the data at the beginning of one texture, avoiding to evaluate complex shaders in fragments that don’t have ...
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