Hrvatska znanstvena Sekcija img
3 gif
 O projektu
4 gif
Pregledavanje radova
Jednostavno pretraživanje
Napredno pretraživanje
Skupni podaci
Upis novih radova
Ispravci prijavljenih radova
Ostale bibliografije
Slični projekti
 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 229257

Zbornik radova

Autori: Domijan, Dražen
Naslov: Neural network for perceptual grouping and lightness perception
Izvornik: Twenty-second European Conference on Visual Perception - Abstracts / Gregory, Richard (ur.). - London : Pion , 1999. 130.
Skup: Twenty-second European Conference on Visual Perception
Mjesto i datum: Trst, Italija, 22-26.08.1999.
Ključne riječi: Lightness perception; Lightness illusions; Perceptual grouping; Neural networks; Boundary and surface computation
The Munker - White illusion, Benary's cross, checkerboard contrast, and second-order simultaneous contrast are examples of perceptual phenomena that could not be explained by classical concepts such as Wallach's ratio rule and centre - surround antagonism. Since such illusions involve two or more aligned borders with different magnitudes of contrast, it is proposed that a low-contrast contour receives stronger support if it is aligned with a high-contrast contour and therefore performs contrast negation in a filling-in layer. To implement this hypothesis the bipole cell model of perceptual grouping has been revised. The new model exhibits analog sensitivity and operates as a statistical MAX gate rather than an AND gate. Both features are consequences of presynaptic inhibition embedded in cooperative interactions. A MAX gate means that the bipole cell inherits activity level from the lobe that samples stronger contrast. Computer simulations have been performed with a neural network for lightness perception formulated in the tradition of filling-in theories. The network has four stages: (1) cells with centre - surround receptive fields ; (2) simple and complex cells ; (3) bipole cells ; (4) filling-in, which combines signals from stages 1 and 3. Activity distributions in the filling-in layer show that the model correctly predicts appearance of grey patches in all illusions mentioned here.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
URL Internet adrese:

Verzija za printanje   za tiskati