"3D" - Selaus asiasanan mukaan Kandidaatintutkielmat

Viitteet 1-4 / 4

    • Geometric invariance of PointNet 

      Le, Hoanh (2021)
      Kandidaatintyö
      PointNet has become one of the de facto deep learning architectures for 3D tasks, from object classification to scene segmentation. One of its main components is two Joint Alignment Networks, which were designed to help ...

    • Learning-based 3D scene reconstruction using RGBD cameras 

      Petäjä, Mikael (2021)
      Kandidaatintyö
      Machine learning methods and object recognition algorithms have improved much in the past decade, but computer perception and object recognition remain some of the biggest challenges of modern engineering. A close relative ...

    • RGBD SLAM Based 3D Object Reconstruction and Tracking: Using Google ARCore 

      Suonsivu, Aleksi (2020)
      Kandidaatintyö
      The significant growth in the popularity of augmented reality and virtual reality in the fields of technology and entertainment has created new challenges and opportunities. Development platforms like Google’s ARCore and ...

    • Teknisten tuotemäärittelytietojen liittäminen suoraan 3D-malliin 

      Ahlblad, Atte (2022)
      Kandidaatintyö
      Teknisten tuotemäärittelytietojen (engl. Product Manufacturing Information, PMI) avulla pyritään uudistamaan koneensuunnittelussa vakiintunutta käytäntöä dokumentoida kappaleen muotoilu-, valmistus-, laatu- sekä muu data ...