CVPR Daily - Wednesday

Point clouds and images are the typical data produced by 3D acquisition systems . This work proposes a simple set-up to merge the two without requiring meshing or depth sensors, but simply raw point clouds, images, and the corresponding camera poses . When you have multiple images of a 3D scene, each object may be seen in a variable number of images. Some images may be close-up, some far away, while some may be occluded or see things from slanted angles. This situation is called the multi-view problem . Damien Robert is a PhD student at IGN, the French national mapping agency, and Gustave Eiffel University. ENGIE also funds his PhD. As the first author of his first paper on 3D semantic segmentation, he speaks to us ahead of his oral presentation today. Learning Multi-View Aggregation in the Wild for Large-Scale 3D Semantic Segmentation 20 DAILY CVPR Wednesday Oral Presentation