This paper examines the problem of shape-based object recognition, and proposes a new
approach, the alignment of pictorial descriptions. The first part of the paper reviews general …

This paper examines four current theoretical approaches to the representation and
recognition of visual objects: structural descriptions, geometric constraints, multidimensional …

We survey the main ideas behind recent research in model-based object recognition. The
survey covers representations for models and images and the methods used to match them …

The systems and concepts described in this paper document the evolution of the geometric
invariance approach to object recognition over the last five years. Invariance overcomes one …

Recognition systems attempt to recover information about the identity of observed objects
and their location in the environment. A fundamental problem in recognition is pose …

Invariant descriptors are shape descriptors that are unaffected by object pose, by
perspective projection, and by the intrinsic parameters of the camera. These descriptors can …

A data-driven system for segmenting scenes into objects and their components is presented.
This segmentation system generates hierarchies of features that correspond to structural …

This paper provides a review of shape analysis methods. Shape analysis methods play an
important role in systems for object recognition, matching, registration, and analysis …

Shape description and recognition is an important and interesting problem in scene
analysis. Our approach to shape description is a formal model of a shape consisting of a set …

We discuss the role of the general invariance concept in object recognition, and review the
classical and recent literature on projective invariance. Invariants help solve major problems …