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Sehoon Yea authored Sep 25, 2019 and David Flynn committed Nov 21, 2019

This adoption permits prediction of residuals between components of
the same attribute, coding the residual resulting from this second
prediction.

Yiting Shao authored Sep 23, 2019 and David Flynn committed Nov 21, 2019

This adoption allows determining the weights of each point's
predicting neighbours with a reduced influence of the, for
instance, z component.

Toshiyasu Sugio authored Mar 01, 2019 and David Flynn committed Apr 16, 2019

This commit introduces prediction by previously coded points within
the same level of detail using the predicting attribute coder.
The feature is controlled using --intraLodPredictionEnabled=0|1.

Noritaka Iguchi authored Mar 27, 2019 and David Flynn committed Apr 16, 2019

This commit introduces control of the quantisation step size using
the familiar HEVC | AVC quantisation parameter.

Jungsun Kim authored Jan 30, 2019 and David Flynn committed Feb 05, 2019

This simplified attribute prediction scheme avoids computing the
LoD structure in order to reduce the computational complexity of
both the encoder and the decoder.  It is activated by setting
levelOfDetailCount=0.

NB: this is only configured for lossless/near-lossless predictive
attribute coding of cat3 sequences.

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 provides a method to predict the child occupancy bits of a
node based on the node's 26 neighbours.  The prediction is used to
contextualise coding of each occupancy bit.

This tool requires the use of the occupancyAtlas for neighbour lookup.
NB: a restriction in the current implementation requires that the
atlas size is at most 8³.

intra_pred_max_node_size_log2: 6

Bitwise geometry occupancy coding uses a mapping table to select entropy
contexts.  This commit employs a dynamic mapping which is updated after
each coding operation, replacing the previous static mapping tables.

NB: the proposed version used a context with a halving period
(max_count) of 64 symbols.  However, this conflicts with another
adoption (512 symbols), and a wholesale replacement of the arithmetic
codec and context model.  To resolve the conflict, the existing halving
period (128) is used.

This commit adds configuration data for new cat1 and cat3 sequences:

cat1, voxelised frames:
  boxer_viewdep_vox12
  longdress_viewdep_vox12
  loot_viewdep_vox12
  redandblack_viewdep_vox12
  soldier_viewdep_vox12
  thaidancer_viewdep_vox12

cat3, LiDaR sqeuences:
  qnxadas-junction-approach: 74 frames
  qnxadas-junction-exit:     74 frames
  qnxadas-motorway-join:     500 frames
  qnxadas-navigating-bends:  300 frames

Khaled Mammou authored Aug 27, 2018 and David Flynn committed Sep 03, 2018

Certain test sequences with 16-bit reflectance are actually 8-bit data that
has been scaled by 255.  This commit adds non-normative support to the
encoder and decoder to convert between the two representations through
the option "hack.reflectanceScale".

This configuration unifies the old configuration files and provides
greater test coverage.  Notable changes are:

 - configuration sets for octree vs trisoup, and pred/lift vs raht.

 - cat1 test sequences added to all test configurations

 - attribute quantization step sizes are aligned between all coding
   schemes.

 - levelOfDetailCount is unified where possible (cat3 = 10, mostly)

 - config dependent dist2 variation for a given sequence is removed