Aspect Graphs: State-of-the-art and Applications in Digital Photogrammetry*

نویسندگان

  • David W. Eggert
  • Kevin W. Bowyer
  • R. Dyer
چکیده

The study of the viewer-centered object representation known as the aspect graph has recently been an active area of research in computer vision. The aspect graph is desirable because it provides a complete enumeration of all possible distinct views of an object, given a particular model for viewpoint space and adefinition of "distinct". This paper presents a history of the evolution of the aspect graph, culminating with the current state of the art in algorithms and implementations for automatically constructing an aspect graph. The use of the aspect graph in possible applications in computer vision and computer graphics is described. Finally, current limitations of the representation are discussed and a potential solution involving the scale space concept is presented.

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تاریخ انتشار 2010