Showing papers by "Robert C. Bolles published in 1982"

Recognising and Locating Partially Visible Objects: The Local-Feature-Focus Method

Abstract: A new method of locating partially visible two-dimensional objects is presented. The method is applicable to complex industrial parts that may contain several occurrences of local features, such as holes and corners. The matching process utilises clusters of mutually consistent features to hypothesise objects, also uses templates of the objects to verify these hypotheses. The technique is fast because it concentrates on key features that are automatically selected on the basis of a detailed analysis of CAD-type models of the objects. The automatic analysis applies general-purpose routines for building and analysing representations of clusters of local features that could be used in procedures to select features for other locational strategies. These routines include algorithms to compute the rotational and mirror symmetries of objects in terms of their local features.

Modeling and using physical constraints in scene analysis

Abstract: This paper describes the results obtained in a research program ultimately concerned with deriving a physical sketch of a scene from one or more images. Our approach involves modeling physically meaningful information that can be used to constrain the interpretation process, as well as modeling the actual scene content. In particular, we address the problems of modeling the imaging process (camera and illumination), the scene geometry (edge classification and surface reconstruction), and elements of scene content (material composition and skyline delineation).