Sensitivity to corners in flow patterns.
Spat Vis
; 2(3): 233-44, 1987.
Article
em En
| MEDLINE
| ID: mdl-3154949
ABSTRACT
Flow patterns are two-dimensional orientation structures that arise from the projection of certain kinds of surface coverings (such as fur) onto images. Detecting orientation changes within them is an important task, since the changes often correspond to significant events such as corners, occluding edges, or surface creases. We model such patterns as random-dot Moiré patterns, and examine sensitivity to change in orientation within them. We show that the amount of structure available from which orientation and curvature can be estimated is critical, and introduce a path-length parameter to model it. For short path lengths many discontinuities are smoothed over, which has further implications for computational modeling of orientation selectivity.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Reconhecimento Visual de Modelos
/
Sensibilidades de Contraste
Tipo de estudo:
Diagnostic_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
Spat Vis
Assunto da revista:
OFTALMOLOGIA
Ano de publicação:
1987
Tipo de documento:
Article
País de afiliação:
Canadá