Efficient New Object Recognition Software Uses Smarter Piece-By-Piece Approach
Object Recognition Simplified A new object recognition system developed at MIT and UCLA looks for rudimentary visual features shared by multiple examples of the same object. Then it looks for combinations of those features shared by multiple examples, and combinations of those combinations, and so on, until it has assembled a model of the object that resembles a line drawing. Long (Leo) Zhu, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology A new visual recognition program developed at MIT uses a process of elimination to identify objects much more efficiently than the matching techniques used by existing software. Line by line, piece by piece, it identifies commonalities between everyday objects, resulting in line drawings that resemble an artist's sketch. Unlike other object-recognition programs, it doesn't need to be trained to look for specific features -- say, eyes, a nose and a mouth. Rather, it starts with small lines, searching...