Improve SfmExpanding processing

[servantftransperfect]

Reactivate rig support in sfmExpanding :

• Put back the options in the node description
• Enable post processing calibration

Rollback use of feature scale in triangulation scoring to reduce the number of outliers

Parallelize next best views estimation

A missing branch caused the bundle to be launched even if nothing new was done.

[Copilot]

Pull Request Overview

This PR improves the SfmExpanding processing pipeline by re-enabling rig support functionality and implementing performance optimizations. The changes restore previously commented-out rig constraint features and add parallelization to the next best views estimation process.

• Reactivated rig constraint support in SfmExpanding node with post-processing calibration
• Modified triangulation scoring to use uniform weights instead of feature scale weights
• Added OpenMP parallelization to the expansion policy processing loop

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
main_sfmExpanding.cpp	Uncommented rig constraint post-processing code to restore rig support functionality
SfmTriangulation.cpp	Changed triangulation weights from feature scale-based to uniform weights
ExpansionPolicyLegacy.cpp	Added OpenMP parallelization for next best views estimation processing
ExpansionChunk.cpp	Added early exit condition and view counting logic to prevent unnecessary bundle adjustments
SfmExpanding.py	Added rig constraint parameters to the node description interface

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