This paper presents a kernel method that allows to combine color and shape information for
appearance-based object recognition. It doesn't require to define a new common …

This paper describes an approach to 2-dimensional object recognition. Complex-log con
(cid: 173) formal mapping is combined with a distributed associative memory to create a …

A model-based 3D object recognition and positioning method is proposed. The proposed
recognition method is based on the idea of combining many local matchings into a …

We present an architecture for 3D-object recognition based on the integration of neural and
semantic networks. The architecture consists of mainly two components. A neural object …

In this chapter, our recognition system is discussed in detail. In section 4.1, the model
representation is discussed. Then in section 4.2, the general matching strategy is presented …

A novel scheme using spherical manifolds is proposed for the simultaneous classification
and pose estimation of 3D objects from 2D images. The spherical manifold imposes a local …

We present a technique using Markov models with spectral features for recognizing 2D
shapes. We analyze the properties of Fourier spectral features derived from closed contours …

This report describes the main features of a view-based model of object recognition. The
model does not attempt to account for specific cortical structures; it tries to capture general …

In recent years, there have been several proposals for the realization of models inspired to
biological solutions for pattern recognition. In this work we propose a new approach, based …

The problem of recognition of multiple flat objects in a cluttered environment from an
arbitrary viewpoint is addressed. The models are acquired automatically and approximated …