For consistency with the upcoming change to the pointcloud position
data type, this commit changes the trisoup coding to internally
use int32_t rather than uint32_t.

Xiang Zhang authored Jun 10, 2019 and David Flynn committed Nov 21, 2019

This adoption permits coding geometry with non-cubic bounding boxes.
Since the depth of the tree remains constant for cubic and non-cubic
bounding boxes with identical largest dimensions, quad-tree and
binary-tree partitions are introduced to avoid coding 'fractional'
positions.

The following configuration options control the placement of non-octree
partitions within the coding tree:

 --max_num_implicit_qtbt_before_ot
 --min_implicit_qtbt_size_log2

None of these methods need to be inlined.

This is part of a series attempting to remove unhelpful typedefs.

This commit provides trisoup_node_size_log2 as a replacement for
the following HLS syntax variables:
 - geom_codec_type (redundant wrt. triangle node size derivation)
 - trisoup_depth (redundant wrt. bounding box)
 - trisoup_triangle_level (semantics simplified)

The following config options have been removed:
 - geometryCodec (redundant wrt. trisoup_node_size_log2)
 - triSoupLevel  (replaced by trisoup_node_size_log2)
 - triSoupDepth  (unnecessary)
 - triSoupIntToOrigScale (redundant wrt. positionQuantizationScale)

This commit adds an arithmetic codec interface class that allows a
compile time choice of arithmetic codec implementation.  Context types
are renamed to support compile time selection, and existing support
functions that were added to the third-party arithmetic codec are
moved to the wrapper.

Ohji Nakagami authored Aug 07, 2018 and David Flynn committed Nov 01, 2018

This commit uses a direct intersection check between the trisoup
triangles and point cloud unit vectors.  This avoids the need to
upsample the triangles with dense sampling and then performing
voxelisation.

Philip A. Chou authored Jul 19, 2018 and David Flynn committed Nov 01, 2018

This commit integrates a c++ trisoup codec, replacing the previous matlab
implementation.

The provided code has been reworked to avoid duplicating code, dead code,
and operate with the current HLS.