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Showing 1 to 6 of 6 for “"3D Object Recognition"”.

  1. 3D object recognition and retrieval using navigating robots with active vision : "MROLR", a mobile robotic object locator and retriever

    … (pose determining), recognizing, and retrieving 3D objects in an indoor environment. Key related contributions include the development of 3D object-model creation and editing facilities, and the application of a vision enhanced navigation algorithm.

    vu-aus Repository record for 3D object recognition and retrieval using navigating robots with active vision : "MROLR", a mobile robotic object locator and retriever (opens in a new tab)

  2. Generative adversarial modeling of 3D shapes

    Given a 3D shape, humans are capable of telling whether it looks natural. This shape priors, namely the perception of whether a shape looks realistic, are formed over years of our interactions with surrounding 3D objects, and go beyond simple definition of objects. In this thesis, we propose two …

    mit Repository record for Generative adversarial modeling of 3D shapes (opens in a new tab)

  3. Covariance based point cloud descriptors for object detection and classification

    Processing 3D point data is of primary interest in many areas of computer vision, including object grasping, robot navigation, and 3D object recognition. The recent introduction of cheap range sensors like the Microsoft Kinect has created a great interest in the computer vision community towards …

    umn Repository record for Covariance based point cloud descriptors for object detection and classification (opens in a new tab)

  4. Geometric feature distributions for shape representation and recognition.

    … in computer vision is the identification of objects from their shape. The research reported in this thesis is directed toward the development of a scheme for representing the shape of an object which allows it to be recognised both quickly and robustly across a wide range of viewing …

    whiterose Repository record for Geometric feature distributions for shape representation and recognition. (opens in a new tab)