2007 年 2007 巻 p. 82-87
A new framework is presented for identifying objects in multi-viewpoint imagery. As an invariant feature, chromatic complexity of random texture is extracted and adapted for multi-viewpoint association. The feasibility of the framework is investigated through experimental studies.