Patents by Inventor Sergio Salvatore Caccamo

Sergio Salvatore Caccamo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Imaging system and method for object detection and localization
    Patent number: 10909369
    Abstract: A method and system detects and localizes multiple instances of an object by first acquiring a frame of a three-dimensional (3D) scene with a sensor, and extracting features from the frame. The features are matched according to appearance similarity and triplets are formed among matching features. Based on 3D locations of the corresponding points in the matching triplets, a geometric transformation is computed. Matching triplets are clustered according to the computed geometric transformations. Since the set of features coining from two different object instances should have a single geometric transform, the output of clustering provides the features and poses of each object instance in the image.
    Type: Grant
    Filed: October 23, 2017
    Date of Patent: February 2, 2021
    Assignees: Mitsubishi Electric Research Laboratories, Inc, Mitsubishi Electric Corporation
    Inventors: Esra Cansizoglu, Wim Abbeloos, Sergio Salvatore Caccamo, Yuichi Taguchi, Yukiyasu Domae
  • Imaging system and method for object detection and localization
    Publication number: 20190019030
    Abstract: A method and system detects and localizes multiple instances of an object by first acquiring a frame of a three-dimensional (3D) scene with a sensor, and extracting features from the frame. The features are matched according to appearance similarity and triplets are formed among matching features. Based on 3D locations of the corresponding points in the matching triplets, a geometric transformation is computed. Matching triplets are clustered according to the computed geometric transformations. Since the set of features coining from two different object instances should have a single geometric transform, the output of clustering provides the features and poses of each object instance in the image.
    Type: Application
    Filed: October 23, 2017
    Publication date: January 17, 2019
    Applicants: Mitsubishi Electric Research Laboratories, Inc, Mitsubishi Electric Corporation
    Inventors: Esra Cansizoglu, Wim Abbeloos, Sergio Salvatore Caccamo, Yuichi Taguchi, Yukiyasu Domae