Many of the phenomena of object classification can be derived from a representation specifying a nonaccidental characterization of an object's parts (geons) and relations, termed a geon structural description (GSD). Such a representation: a) enables the facile recognition of depth-rotated objects, even when they are novel, b) provides the information that is employed not only to distinguish basic-level but also highly similar members of subordinate-level classes, and c) enables mapping onto verbal and object-reasoning structures. Recent psychophysical and neural investigations of object recognition have provided additional support to this theory of object representation. I
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
There is plenty of evidence that object recognition is orientation-dependent, but there is still con...
In this report we present a general introduction to object recognition. We begin with brief discussi...
Two models of object perception are compared: recognition by components (RBC), proposed by Biederman...
I. Biederman and P. C. Gerhardstein (1993) demonstrated that a representation specifying a distincti...
In a fraction of a second humans are able to comprehend novel images of objects and scenes. Indeed, ...
Biederman's introduction of geons to the vision community has spawned considerable interest in ...
AbstractIt has been debated whether object recognition depends on structural or view-specific repres...
Object recognition concerns itself with two questions: What is the form of object representation? an...
Is human object recognition viewpoint dependent or viewpoint invariant under “everyday” conditions? ...
AbstractHumans often evidence little difficulty at recognizing objects from arbitrary orientations i...
We easily recognize many familiar and unfamiliar ob-jects that vary in shape, color, texture, moveme...
In 2 experiments involving computer-rendered versions of single shapes or "geons, &quot...
Object recognition algorithms usually identify: 1) point-based features and 2) global structure/geom...
To form view-invariant representations of objects, neurons in the inferior temporal cortex may assoc...
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
There is plenty of evidence that object recognition is orientation-dependent, but there is still con...
In this report we present a general introduction to object recognition. We begin with brief discussi...
Two models of object perception are compared: recognition by components (RBC), proposed by Biederman...
I. Biederman and P. C. Gerhardstein (1993) demonstrated that a representation specifying a distincti...
In a fraction of a second humans are able to comprehend novel images of objects and scenes. Indeed, ...
Biederman's introduction of geons to the vision community has spawned considerable interest in ...
AbstractIt has been debated whether object recognition depends on structural or view-specific repres...
Object recognition concerns itself with two questions: What is the form of object representation? an...
Is human object recognition viewpoint dependent or viewpoint invariant under “everyday” conditions? ...
AbstractHumans often evidence little difficulty at recognizing objects from arbitrary orientations i...
We easily recognize many familiar and unfamiliar ob-jects that vary in shape, color, texture, moveme...
In 2 experiments involving computer-rendered versions of single shapes or "geons, &quot...
Object recognition algorithms usually identify: 1) point-based features and 2) global structure/geom...
To form view-invariant representations of objects, neurons in the inferior temporal cortex may assoc...
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
There is plenty of evidence that object recognition is orientation-dependent, but there is still con...
In this report we present a general introduction to object recognition. We begin with brief discussi...