Comments (1)
The encoder encodes all points sequentially. It does not encode mapping from points to attribute values though. So basically for each point it encodes the values directly. The decoded point cloud will then have identity mapping between point indices and attribute value indices (at least before deduplication takes place).
A more specific example, imagine point cloud with a single attribute and 4 points that are mapped to attribute values [2, 0, 1, 1]
(so three unique attribute values). Without deduplication, the decoded point cloud will have 4 points where the points are mapped to attribute values as: [0, 1, 2, 3]
. The order of the points will be the same but the decoded values will be in a different order (decoded to encoded mapping will be: (0->2, 1->0, 2->1, 3->1)
).
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