Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "feature extraction"

Now showing items 1-3 of 3

  • Combining Object and Feature Dynamics in Probabilistic Tracking 

    Unknown author (2005-03-02)
    Objects can exhibit different dynamics at different scales, a property that isoftenexploited by visual tracking algorithms. A local dynamicmodel is typically used to extract image features that are then used as inputsto a ...

  • Feature Extraction Without Edge Detection 

    Unknown author (1993-09-01)
    Information representation is a critical issue in machine vision. The representation strategy in the primitive stages of a vision system has enormous implications for the performance in subsequent stages. Existing ...

  • Finding Junctions Using the Image Gradient 

    Unknown author (1991-12-01)
    Junctions are the intersection points of three or more intensity surfaces in an image. An analysis of zero crossings and the gradient near junctions demonstrates that gradient-based edge detection schemes fragment edges ...