Patents by Inventor Stanley M. Bileschi

Stanley M. Bileschi 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).

  • High-performance vision system exploiting key features of visual cortex
    Patent number: 7606777
    Abstract: An artificial visual recognition system and method employ a digital processor and a model executed by the digital processor. The model has a loose hierarchy of layers. Each layer, from a lowest hierarchy level to a top level, provides relatively increasing selectivity and invariance of the input image. The hierarchy allows bypass routes between layers. On output, the model produces feature recognition and classification of an object in the input image. In some embodiments, windowing means provide windows of the input image to the model, and the model responds to shape-based objects in the input image. In another feature, segmenting means segment the input image and enables the model to determine texture-based objects in the input image.
    Type: Grant
    Filed: September 1, 2006
    Date of Patent: October 20, 2009
    Assignee: Massachusetts Institute of Technology
    Inventors: Thomas Serre, Tomaso Poggio, Maximilian Riesenhuber, Lior Wolf, Stanley M. Bileschi
  • High-performance vision system exploiting key features of visual cortex
    Publication number: 20080071710
    Abstract: An artificial visual recognition system and method employ a digital processor and a model executed by the digital processor. The model has a loose hierarchy of layers. Each layer, from a lowest hierarchy level to a top level, provides relatively increasing selectivity and invariance of the input image. The hierarchy allows bypass routes between layers. On output, the model produces feature recognition and classification of an object in the input image. In some embodiments, windowing means provide windows of the input image to the model, and the model responds to shape-based objects in the input image. In another feature, segmenting means segment the input image and enables the model to determine texture-based objects in the input image.
    Type: Application
    Filed: September 1, 2006
    Publication date: March 20, 2008
    Applicant: Massachusetts Institute of Technology
    Inventors: Thomas Serre, Tomaso Poggio, Maximilian Riesenhuber, Lior Wolf, Stanley M. Bileschi