Stai vedendo 1 articolo (di 1 totali)
  • Autore
  • #5045

    Matteo Testi
    Amministratore del forum

    Nel link le slide della presentazione di SK Reddy Chief Product Officer AI for Hexagon

    Processing 3D images has many use cases. For example, to improve autonomous car driving, to enable digital conversions of old factories, enable augmented reality solutions for medical surgeries, etc. 3D image processing brings enormous benefits but also amplifies computing cost. The size of the point cloud, the number of points, sparse and irregular point cloud, and the adverse impact of the light reflections, (partial) occlusions, etc., make it difficult for engineers to process point clouds. Moving from using handcrafted features to using deep learning techniques to semantically segment the images, to classify objects, to detect objects, to detect actions in 3D videos, etc., we have come a long way in 3D image processing. 3D Point Cloud image processing is increasingly used to solve Industry 4.0 use cases to help architects, builders and product managers. I will share some of the innovations that are helping the progress of 3D point cloud processing. I will share the practical implementation issues we faced while developing deep learning models to make sense of 3D Point Clouds

Stai vedendo 1 articolo (di 1 totali)

Devi essere loggato per rispondere a questa discussione.