Saturday 23 November 2013
Tuesday 8 October 2013
Selecting O3DGC Encoding Parameters
Attribute type
|
Quantization
|
Prediction mode
|
POSITION
|
Excellent quality: 13
Good quality: 12
Aggressive compression: 10
|
O3DGC_SC3DMC_PARALLELOGRAM_PREDICTION
|
TEXCOORD
|
10 (for 1024x1024) texture images
9 (for 512x512) texture images
8 (for 256x256) texture images
N (for 2^Nx2^N) texture
images
|
O3DGC_SC3DMC_PARALLELOGRAM_PREDICTION
|
NORMAL
|
Excellent quality: 10
Good quality: 8
Aggressive compression: 6
|
O3DGC_SC3DMC_SURF_NORMALS_PREDICTION
if the normals magnitudes are not relevant
O3DGC_SC3DMC_PARALLELOGRAM_PREDICTION
to preserve the normals magnitudes
|
COLOR
|
Excellent quality: 10
Good quality: 8
Aggressive compression: 6
|
O3DGC_SC3DMC_DIFFERENTIAL_PREDICTION
|
WEIGHT
|
No idea yet. I need to test
with real data.
I would say between 8-12
|
O3DGC_SC3DMC_PARALLELOGRAM_PREDICTION
|
JOINT_ID
|
No quantization
|
O3DGC_SC3DMC_DIFFERENTIAL_PREDICTION
|
Computational complexity of prediction modes:
·
O3DGC_SC3DMC_PARALLELOGRAM_PREDICTION
(+++)
·
O3DGC_SC3DMC_SURF_NORMALS_PREDICTION
(+++)
·
O3DGC_SC3DMC_DIFFERENTIAL_PREDICTION
(++)
·
O3DGC_SC3DMC_NO_PREDICTION
(+)
Thursday 1 August 2013
Wednesday 31 July 2013
Open3DGC (updated results)
In a previous post, I reported experimental results comparing the compression efficiency of Open3DGC
to webgl-loader and OpenCTM. In this post, I am providing an updated version,
which takes into account:
- The "evaluation version" obj2utf8x of webgl-loader, which provides better compression performances than the obj2utf8 encoder, and
- The latest Open3DGC version (slightly better compression).
Saturday 27 July 2013
Open3DGC at "COLLADA/glTF" BoF (Siggraph 2013)
Open3DGC was demoed at "COLLADA/glTF" BoF (Siggraph
2013). Check out these two presentations:
Wednesday 24 July 2013
Open3DGC (Open 3D Graphics Compression)
Open3DGC aims at providing a cross platform C++ implementation (under MIT License) of patent free MPEG tools for 3D graphics compression.
The current Open3DGC version provides an implementation of
the MPEG-SC3DMC codec (Scalable Complexity 3D Mesh Compression). SC3DMC offers an efficient low complexity solution to compress arbitrary
triangular 3D meshes with attributes (e.g., normals, texture coordinate, skinning
animation weights, bone IDs..).
A detailed description of the compression algorithm is available here
A detailed description of the compression algorithm is available here
Open3DGC supports two output stream types:
Compression Efficiency
- Binary streams: compressed using arithmetic encoding
- ASCII (7-bits) streams: adapted for server-side gzip compression and java-script client side decoding
Compression Efficiency
Open3DGC is 7.8 times more efficient than Gzip and
1.7-2.0 times more efficient than Webgl-loader and OpenCTM
- Test dataset: 160 models with various shapes and topologies (i.e., open/closed, manifold/non-manifold, arbitrary genus)
- Codecs:
Using the Open3DGC Compression Tool
- The "test_o3dgc" tool supports only OBJ files with a single triangular model
- Pre-built binaries for Win32, Win64 and ubuntu are available here
- Example of test models are located here
- To compress the "bunny" model file use the following command line:
- Binary stream
test_o3dgc.exe -c -st binary -i bunny.obj
- ASCII stream
test_o3dgc.exe -c -st ascii -i bunny.obj
- ASCII streams should be further compressed by using GZip
- To decompress the stream:
test_o3dgc.exe -d -i bunny.s3d
Subscribe to:
Posts (Atom)