Abstract
We propose an embedded attribute encoding method for point clouds based
on set partitioning in hierarchical trees (SPIHT) [1]. The encoder
is used with the region-adaptive hierarchical transform [2] which
has been a popular transform for point cloud coding, even included in
the standard geometry-based point cloud coder (G-PCC) [3],[4].
The result is an encoder that is efficient, scalable, and embedded. That
is, higher compression is achieved by trimming the full bit-stream.
G-PCC’s RAHT coefficient prediction prevents the straightforward
incorporation of SPIHT into G-PCC. However, our results over other RAHT
based coders are promising, improving over the original, nonpredictive
RAHT encoder, while providing the key functionality of being embedded.