Pierrick Jouet is a researcher in signal and image processing with over 25 years of hands-on experience and five years formally titled as a researcher, currently contributing to MPEG scene description at InterDigital in the Greater Rennes area. His career spans imaging, computer vision and AR, from early camera and ADC expertise to implementing real-time feature tracking, GPGPU motion estimation and depth-based human segmentation. He has repeatedly applied C++ and machine learning to practical products—building nose detectors, facial-expression retargeting pipelines, and multi-user AR experiences with light estimation and localization. An active open-source back-end contributor to the well-known photogrammetry framework AliceVision, he improved image export, distortion correction and UV map tooling—work that bridges research prototypes and production-ready image pipelines. Pierrick combines deep academic training in electronics with a pragmatic engineering mindset, often taking on the less glamorous but critical tasks of optimization, ROI processing and code refactoring that make advanced imaging systems robust in the field.
Contributions:12 commits, 7 pushes, 1 branch in 29 days
Contributions summary:Pierrick primarily focused on enhancing the image processing capabilities of the AliceVision framework. Their contributions involved implementing and refining image export functionalities, particularly related to distortion maps and undistorted images. They added features such as exporting UV maps for Nuke and introduced options to correct principal points. Moreover, the user optimized the code by adding ROI processing and refactoring image-related functions.
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