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• W2016162006 abstract "Viewpoint indicates the viewing direction of an observer with respect to an object and can be described by a point on a sphere. This paper describes a planar representation of viewpoint that can be used by a modelbased vision system to represent and reason about the visibility of object-featur es. The representation can be used for both on-line and off-line reasoning. With respect to off-line reasoning it is shown how it is possible to represent the visibility of an object's features as a quadtree and characterize an object by a set of canonical viewpoints. With respect to on-line reasoning it is shown how it is possible to reason about the presence of an object in the image and to estimate the possible viewpoints. Once a group of detected features has been hypothesized to belong to an object and a set of possible viewpoints determined, it is then possible to confirm this hypothesis and exclude unlikely viewpoints by using precomputed information about the pairwise relationships between image features. Model-based Vision using single 2D images involves reasoning about the relationship between image-features and object-features. The search-space associated with such reasoning is potentially very large since only 2D features are available. It is therefore very difficult to formulate tight geometric constraints of the type discussed by Grimson1 to help reduce the search space during model matching. Other ways of reducing the search space must be found. The approach adopted here uses low-level feature groups as cues to hypothesize the presence of an object in the image and the possible set of viewpoints with respect to it. This combination of feature grouping and viewpoint reasoning can be achieved by precomputing information about the visibility of an object's features as a function of viewpoint and designing grouping operations that look for these features in the image. The visibility of each object feature is stored by using a planar representation of the viewsphere. This representation is based on a quadtree encoding of the surface of a tetrahedron. Once an object has been hypothesized, confirmation of its presence and a pruning of the set of all possible viewpoints can be achieved by using precompiled information about the pairwise relationships between image-features. Such information will have to be stored for each viewpoint. After unlikely viewpoints have been eliminated in this way the perspective transform can be" @default.
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• W2016162006 date "1988-01-01" @default.
• W2016162006 modified "2023-09-27" @default.
• W2016162006 title "Model Based Vision using a Planar Representation of the Viewsphere" @default.
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• W2016162006 doi "https://doi.org/10.5244/c.2.1" @default.
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