Visual Object Instance Descriptor for Place Recognition

Non-Exclusively Licensed

An approach to place recognition from an image makes use of the detection of objects at a set of known places as well as at an unknown place. Images of the detected objects in an image of the unknown place are processed to yield respective numerical descriptors, and these descriptors are used to compare the unknown place to the known places to recognize the unknown place. At least some embodiments make use of a trained parameterized image processor to transform an image of an object to an object descriptor, and the training of the processor is meant to preserve distinctions between different instances of a type of object, as well as distinctions between entirely different types of objects.

Researchers

Daniela Rus / Roland Siegwart / Cesar Cadena / Andrei Cramariuc / Igor Gilitschenski / Sertac Karaman

Departments: Dept of Electrical Engineering & Computer Science, Department of Aeronautics and Astronautics
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals / Sensing & Imaging: Imaging, Optical Sensing
Impact Areas: Connected World

  • a visual object instance descriptor for place recognition
    Japan | Granted | 7,430,254
  • visual object instance descriptor for place recognition
    United States of America | Granted | 11,295,162
  • a visual object instance descriptor for place recognition
    China | Published application

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