3D Reconstruction from Images Image-based Street-side City Modeling Paper ID:0238 2009,Siggraph A complete pipeline from pixels to finalized 3D objects through object segmentation and recognition
3D Reconstruction from Images 2009, Siggraph A complete pipeline from pixels to finalized 3D objects through object segmentation and recognition
Vision geometry Structure from motion or 3d reconstruction or sLAM EXample par excellence of modern computer vision integrating feature detection, object recognition and geometry computation ■ Camera poses Positioning visual GPs, for gPs denied environments such as indoors, cities Localization for automation by machine vision ■3 D reconstruction Obstacle avoidance, navigation, planning, and environment learning
Vision geometry ◼ Structure from motion, or 3D reconstruction, or SLAM ◼ Example par excellence of modern computer vision integrating feature detection, object recognition and geometry computation ◼ Camera poses ◼ Positioning, visual GPS, for GPS denied environments such as indoors, cities … ◼ Localization, for automation by machine vision ◼ 3D reconstruction ◼ Obstacle avoidance, navigation, planning, and environment learning
The objects of study in geometry ■ Lines to points Corners to feature points a Match correlation to descriptors of high dimension a Descriptors to recognition, beyond the geometry scope More deterministic computational models ■ Robust statistics ■ Large-scale
The objects of study in geometry ◼ Lines to points ◼ Corners to feature points ◼ Match correlation to descriptors of high dimension ◼ Descriptors to recognition, beyond the geometry scope ◼ More deterministic computational models ◼ Robust statistics ◼ Large-scale
New book Image-based modeling Long QUAN, pringer-verlag 2010
New book Image-based Modeling, Long QUAN, Springer-Verlag, 2010
My perspective Part I What is computer vision? What is 3D reconstruction? From pixels to 3D points Structure from motion A quasi-dense approach From 3D points to objects Small-scale objects Smooth surfaces. Hairs. Trees Large-scale buildings Facade, Buildings, Cities Part ll Large-scale automatic 3D mapping Conclusions
My perspective • Part I – What is computer vision? – What is 3D reconstruction? – From pixels to 3D points • Structure from motion • A quasi-dense approach – From 3D points to objects • Small-scale objects – Smooth surfaces, Hairs, Trees • Large-scale buildings – Façade, Buildings, Cities • Part II – Large-scale automatic 3D mapping • Conclusions