Computer vision researchers are developing new approaches to object recognition and
detection that are based almost directly on images and avoid the use of intermediate three …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Retrieving images from very large collections, using image content as a key, is becoming an
important problem. Users prefer to ask for pictures using notions of content that are strongly …

One of the earliest applications of computers was the processing of visual data. With the
benefit of hindsight, we can see that this reflects the importance of sight for humans, the …

We consider learning models for object recognition from examples. Our method is motivated
by systems that use the Hausdorff distance as a shape comparison measure. Typically an …

This paper presents foundations, original research and trends in the field of object
categorization by computer vision methods. The research goals in object categorization are …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

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 …

A method for the automatic construction of fast special purpose vision programs is
described. The starting point for the automatic construction process is a description of a …

This dissertation presents a machine learning system for generating image domain feature
detectors. The feature detectors are programs for a cellular image processor employing the …