Two models of object perception are compared: recognition by components (RBC), proposed by Biederman, and structural information theory (SIT), initially proposed by Leeuwenberg. According to RBC a complex object is decomposed into predefined elementary objects, called geons. According to SIT, the decomposition is guided by regularities in the object. It is assumed that the simplest of all possible interpretations of any object is perceptually preferred. The comparison deals with two aspects of the models. One is the representation of simple objects--various definitions of object axes are considered. It is shown that the more these definitions account for object regularity and thus the more they agree with SIT, the better the object represen...
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
Recognising objects goes beyond vision, and requires models that incorporate different aspects of me...
Abstract Visual recognition requires a robust representation of typical object char-acteristics. Amo...
Two models of object perception are compared: recognition by components (RBC), proposed by Biederman...
Many of the phenomena of object classification can be derived from a representation specifying a non...
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? ...
AbstractIt has been debated whether object recognition depends on structural or view-specific repres...
I. Biederman and P. C. Gerhardstein (1993) demonstrated that a representation specifying a distincti...
Item does not contain fulltextThe paper attends to basic characteristics of visual form as approache...
A debate on whether object representations capture isolated viewpoints or ranges of views has domina...
Summary : Recognition-by-component theory and quantitative interpretation in visual object recogniti...
The author discusses the function of structural descriptions (SDs) during object identification, as ...
Purpose. Objects that differ by qualitative variations in the configurations of their components are...
In a fraction of a second humans are able to comprehend novel images of objects and scenes. Indeed, ...
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
Recognising objects goes beyond vision, and requires models that incorporate different aspects of me...
Abstract Visual recognition requires a robust representation of typical object char-acteristics. Amo...
Two models of object perception are compared: recognition by components (RBC), proposed by Biederman...
Many of the phenomena of object classification can be derived from a representation specifying a non...
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? ...
AbstractIt has been debated whether object recognition depends on structural or view-specific repres...
I. Biederman and P. C. Gerhardstein (1993) demonstrated that a representation specifying a distincti...
Item does not contain fulltextThe paper attends to basic characteristics of visual form as approache...
A debate on whether object representations capture isolated viewpoints or ranges of views has domina...
Summary : Recognition-by-component theory and quantitative interpretation in visual object recogniti...
The author discusses the function of structural descriptions (SDs) during object identification, as ...
Purpose. Objects that differ by qualitative variations in the configurations of their components are...
In a fraction of a second humans are able to comprehend novel images of objects and scenes. Indeed, ...
SUMMARY. This paper examines four current theoretical approaches to the representation and recogniti...
Recognising objects goes beyond vision, and requires models that incorporate different aspects of me...
Abstract Visual recognition requires a robust representation of typical object char-acteristics. Amo...