hide
Free keywords:
-
Abstract:
Given the image of a real-world scene and a
polygonal \mbox{3-D} model of a depicted object, its
apparent size, image coordinates, and \mbox{3-D}
orientation are autonomously detected. Based on
matching silhouette outline to edges in the image,
an extensive search in parameter space converges to
the best-matching set of parameter values. Apparent
object size may a-priori be unknown, and no initial
search parameter values need to be provided. Due to
its high degree of parallelism, the algorithm is
well suited for implementation on graphics hardware
to achieve fast object recognition and \mbox{3-D}
pose estimation.
