
Worked on enhancing 3D reconstruction workflows in the alicevision/AliceVision and alicevision/Meshroom repositories, focusing on data filtering, pose transfer, and pipeline robustness. Developed a regex-based SfMData filtering tool and integrated it as a node in Meshroom, enabling selective view processing and reducing manual data culling. Introduced pose-based camera matching to streamline pose alignment transfer between scenes, and added a dedicated pipeline definition for multi-view photometric stereo. Addressed a file recognition bug by correcting a pattern typo, improving pipeline reliability. Utilized C++, Python, and regular expressions, demonstrating attention to detail and a methodical approach to computer vision pipeline development.
July 2025 monthly summary: Delivered a targeted bug fix in AliceVision to stabilize input file recognition for multi-view photometric stereo workflows. By correcting a typo in the file matching pattern (ambiant -> ambient) in multi-viewPhotometricStereo.mg, the pipeline now reliably recognizes and processes the intended files, reducing ingestion errors and downstream processing failures.
July 2025 monthly summary: Delivered a targeted bug fix in AliceVision to stabilize input file recognition for multi-view photometric stereo workflows. By correcting a typo in the file matching pattern (ambiant -> ambient) in multi-viewPhotometricStereo.mg, the pipeline now reliably recognizes and processes the intended files, reducing ingestion errors and downstream processing failures.
October 2024: Key contributions across alicevision/AliceVision and alicevision/Meshroom focused on data filtering, pose transfer, and pipeline enhancements to improve data quality, processing speed, and pipeline robustness. Delivered regex-based SfMData filtering (SfMFilter) with view-path pattern matching, introduced pose-based camera matching (from_poseid) in SfMTransfer, and added a dedicated MV-PS pipeline definition in Meshroom. These changes reduce manual data culling, improve pose alignment transfer between SfM scenes, and streamline photogrammetry workflows across the stack.
October 2024: Key contributions across alicevision/AliceVision and alicevision/Meshroom focused on data filtering, pose transfer, and pipeline enhancements to improve data quality, processing speed, and pipeline robustness. Delivered regex-based SfMData filtering (SfMFilter) with view-path pattern matching, introduced pose-based camera matching (from_poseid) in SfMTransfer, and added a dedicated MV-PS pipeline definition in Meshroom. These changes reduce manual data culling, improve pose alignment transfer between SfM scenes, and streamline photogrammetry workflows across the stack.

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