alicevision/AliceVision
Jul 2025 – Jan 2026
6 Months active
Languages Used
PythonBoostC++CMake
Technical Skills
3D Modeling Import/ExportBlender Scripting3D ReconstructionBug FixingC++C++ Development
Cedric Thebault
PROFILE
Cedric Thebault
Cedric Thebault contributed to the alicevision/AliceVision repository over six months, focusing on 3D reconstruction workflows and simulation tooling. He enhanced scene generation by implementing random sphere-point sampling and multi-view observation logic, improving the realism and robustness of synthetic datasets. Cedric refactored simulation components for reusability and added unit tests to strengthen Structure-from-Motion pipelines, emphasizing maintainability and reproducibility. He addressed numerical stability in Lie algebra computations and improved bundle adjustment accuracy by refining temporal constraints using quaternions. Working primarily in C++ and Python, Cedric’s work enabled more reliable benchmarking, streamlined testing, and positioned the project for ongoing compatibility with evolving platforms.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
8
Lines of code
1,964
Activity Months6
Your Network
18 peopleSame Organization
@technicolor.com3
Shared Repositories
15
Work History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 focused on stabilizing the core 3D reconstruction workflow in alicevision/AliceVision and expanding user-facing configurability. The work delivered reliable Bundle Adjustment behavior, enhanced temporal constraint accuracy, and CLI-driven configurability, supporting faster deployments and better end-to-end results.
3 Commits • 1 Features
Jan 1, 2026January 2026 focused on stabilizing the core 3D reconstruction workflow in alicevision/AliceVision and expanding user-facing configurability. The work delivered reliable Bundle Adjustment behavior, enhanced temporal constraint accuracy, and CLI-driven configurability, supporting faster deployments and better end-to-end results.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — alicevision/AliceVision Key features delivered: - Structure-from-Motion robustness and simulation enhancements: Refactor to extract simulateTracks into a reusable method to enable simulating noisy tracks in SfM pipelines; Improvement: add unit tests for the temporal constraint in bundle adjustment to boost robustness and accuracy of 3D reconstruction. Major bugs fixed: - No high-severity bugs reported this month; work focused on feature refinements and test coverage to enhance reliability. Overall impact and accomplishments: - Delivered a reusable simulation component and targeted unit tests, increasing the reliability of Structure-from-Motion pipelines with noisy data. This reduces debugging time, improves reproducibility, and strengthens downstream applications. Technologies/skills demonstrated: - C++ refactoring, test-driven development, unit testing, structure-from-motion algorithms, bundle adjustment, and maintainability improvements.
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — alicevision/AliceVision Key features delivered: - Structure-from-Motion robustness and simulation enhancements: Refactor to extract simulateTracks into a reusable method to enable simulating noisy tracks in SfM pipelines; Improvement: add unit tests for the temporal constraint in bundle adjustment to boost robustness and accuracy of 3D reconstruction. Major bugs fixed: - No high-severity bugs reported this month; work focused on feature refinements and test coverage to enhance reliability. Overall impact and accomplishments: - Delivered a reusable simulation component and targeted unit tests, increasing the reliability of Structure-from-Motion pipelines with noisy data. This reduces debugging time, improves reproducibility, and strengthens downstream applications. Technologies/skills demonstrated: - C++ refactoring, test-driven development, unit testing, structure-from-motion algorithms, bundle adjustment, and maintainability improvements.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 Key features delivered - Per-View Noise Variance in Tracks Simulation: Introduced support for different noise variance per view in the tracks simulation process to enhance realism of simulated data. This work was completed in the alicevision/AliceVision repository with the following commit: 22e49ebbb55f11f170d14823c0efe67bc1fe011c (Add noise variance per view in tracksSimulating). Major bugs fixed - None reported this month. Overall impact and accomplishments - Improves realism and utility of synthetic datasets for multi-view reconstruction and tracking pipelines, enabling more accurate benchmarking, calibration, and validation with diverse noise characteristics. - Reduces data curation and configuration overhead by integrating per-view noise variance into the simulation workflow, accelerating testing cycles and enabling better parameter studies. Technologies/skills demonstrated - C++ development within a large codebase (AliceVision), Git-based feature delivery, and integration within the Tracks Simulation pipeline. - Noise modeling, data simulation enhancements, and validation of synthetic datasets for downstream reconstruction and tracking tasks.
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 Key features delivered - Per-View Noise Variance in Tracks Simulation: Introduced support for different noise variance per view in the tracks simulation process to enhance realism of simulated data. This work was completed in the alicevision/AliceVision repository with the following commit: 22e49ebbb55f11f170d14823c0efe67bc1fe011c (Add noise variance per view in tracksSimulating). Major bugs fixed - None reported this month. Overall impact and accomplishments - Improves realism and utility of synthetic datasets for multi-view reconstruction and tracking pipelines, enabling more accurate benchmarking, calibration, and validation with diverse noise characteristics. - Reduces data curation and configuration overhead by integrating per-view noise variance into the simulation workflow, accelerating testing cycles and enabling better parameter studies. Technologies/skills demonstrated - C++ development within a large codebase (AliceVision), Git-based feature delivery, and integration within the Tracks Simulation pipeline. - Noise modeling, data simulation enhancements, and validation of synthetic datasets for downstream reconstruction and tracking tasks.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered an enhanced scene generation feature for AliceVision that enables random sphere-point sampling and generates corresponding observations across multiple views. The change includes adjustments to camera intrinsic parameters and a landmark-to-observation association mechanism across views to improve the overall scene representation. This work strengthens the foundation for more accurate reconstructions and improves downstream processing, with minimal disruption to existing workflows.
October 2025
1 Commits • 1 Features
Oct 1, 2025For 2025-10, delivered an enhanced scene generation feature for AliceVision that enables random sphere-point sampling and generates corresponding observations across multiple views. The change includes adjustments to camera intrinsic parameters and a landmark-to-observation association mechanism across views to improve the overall scene representation. This work strengthens the foundation for more accurate reconstructions and improves downstream processing, with minimal disruption to existing workflows.
September 2025
8 Commits • 3 Features
Sep 1, 2025September 2025 (alicevision/AliceVision): Delivered targeted robustness, realism, and test coverage improvements for 3D reconstruction workflows. Implemented numerical stability fixes for Lie algebra logm, created a synthetic sample-scene generator with camera poses and 3D points to accelerate validation, added a pose noise augmentation node and a temporal pose filtering module to stress-test and smooth SfM pipelines. All items include accompanying tests and documentation to reduce integration risk and shorten validation cycles, enabling more reliable camera pose estimation and higher-quality reconstructions for customers.
8 Commits • 3 Features
Sep 1, 2025September 2025 (alicevision/AliceVision): Delivered targeted robustness, realism, and test coverage improvements for 3D reconstruction workflows. Implemented numerical stability fixes for Lie algebra logm, created a synthetic sample-scene generator with camera poses and 3D points to accelerate validation, added a pose noise augmentation node and a temporal pose filtering module to stress-test and smooth SfM pipelines. All items include accompanying tests and documentation to reduce integration risk and shorten validation cycles, enabling more reliable camera pose estimation and higher-quality reconstructions for customers.
September 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 Concise monthly summary focusing on the most impactful work and business value.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 Concise monthly summary focusing on the most impactful work and business value.
Activity
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Quality Metrics
Correctness95.6%
Maintainability90.0%
Architecture92.0%
Performance86.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BoostC++CMakePython
Technical Skills
3D Graphics3D Modeling Import/Export3D Reconstruction3D reconstruction algorithmsAlgorithm OptimizationBlender ScriptingBug FixingC++C++ DevelopmentC++ developmentC++ programmingCMakeCode RefactoringComputer VisionGeometry
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