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You can request verification for native languages by completing a simple application that takes only a couple of minutes. Review native language verification applications submitted by your peers. Reviewing applications can be fun and only takes a few minutes. Working languages:. Native in : German. Send email. More actions Give feedback. English to German - Rates: 5. Doch Narziss Ach konnte noch nicht wissen, dass die Sprache der modernen Naturwissenschaft die Mathematik ist.

Wahrnehmung als Inferenz, oder: Warum Wahrnehmungsforschung? Die Kognitionsforschung hat es viel leichter, denn jeder sieht!

Intuitiv sollten Handlungen, die uns schwer fallen, wie logisches Denken und Schachspielen, doch profunder sein als das scheinbar triviale Sehen. Doch Intuition ist hier ein ganz schlechter Lehrer. Logik und Schach sind bei weitem besser verstanden und trivialer! Auch die traurig hohe Anzahl von Verkehrsopfern zeigt, wie schwer ein System zu realisieren ist, das automatisch, von Kamerabildern gesteuert, beim Bremsen hilft. Bilder von dreidimensionalen Objekten der Welt werden auf unsere zweidimensionale Netzhaut projiziert.

Dort erzeugen sie zweidimensionale Erregungsmuster der Photorezeptoren. Es ist immer eine Interpretation dieser Daten. Wir leben—zumindest perzeptuell—nicht alle in unserer eigenen, individuell konstruierten Welt. Segmentierung von Objekten vom Hintergrund Wahrnehmung hat nicht das Ziel, die Welt physikalisch genau abzubilden, quasi als Photographie im Gehirn. Wir sehen nur noch sich bewegende gelbe und schwarze Streifen aber eben auch keinen Tiger mehr—genauso bedauerlich oder fatal.

Abbildung 1. In Abschnitt 2. Abbildung 2. Intuitiv ist das ganz einfach, wir lassen einfach die feinsten Details verschwinden. Abbildung 3. Dieser Punkt ist der Wendepunkt. Der Wendepunkt ist an der Stelle der maximalen Steigung.

Dies bedeutet, dass der Wendepunkt dort ist, wo die erste Ableitung der Steigungsfunktion—gleichbedeutend mit der zweiten Ableitung der Ausgangsfunktion—gleich Null ist. Zudem darf die dritte Ableitung an dieser Stelle nicht Null sein, die Steigung der zweiten Ableitung darf nicht Null sein. Abbildung 4. An Objektkanten hingegen hat die zweite Ableitung einen Nulldurchgang—ein zero-crossing im Jargon der Wahrnehmungsforscher: hier liegt ein Wendepunkt der Helligkeitsfunktion vor, da die zweite Ableitung Null ist, aber die Steigung der zweiten Ableitung nicht Null ist.

Deshalb geht die Kurve auch von oben nach unten oder umgekehrt durch die pinkfarbene Linie hindurch: ein Nulldurchgang. Dies ist besonders deutlich zu Beginn und am Ende des Brillenrahmens zu sehen.

Wichmann, aber diesmal nur die zero-crossings. Abbildung 5. Abbildung 6 zeigt die zero-crossings im Bilde von Herrn J. Daher sind alle Wendepunkte der Helligkeitsfunktion markiert. Wir sehen den Bub vor lauter Linien, Kanten und Ecken nicht mehr, respektive nur helle und dunkle Streifen, aber keinen Tiger. Abbildung 6. Im Neuro-Jargon: die Querschnitte durch die rotationssymmetrischen rezeptiven Felder solcher Zellen haben inhibitorische Flanken um eine zentrale Erregungsregion, so genannte on-center retinal ganglion cells negative zweite Ableitung , bzw.

Dann sind wir wieder am Ausgangspunkt unseres Aufsatzes, die Schwierigkeit,? Mathematisch gesprochen enthalten Abbildung 2 sowie 7 bis 9 exakt die gleiche Information.

Mathematik, schlussendlich, hilft uns diese empirischen Befunde zu interpretieren. Heinrich von Kleist am Translation - English Experimental psychology itself is no science, since the subject of its research are the mental processes, but it uses scientific methods to establish the laws of these mental processes.

Especially through this relation to the two great fields of culture, to the Natural Sciences regarding the methods, and to the Humanities regarding the content of its research, experimental psychology is more than any other discipline capable of connecting the Natural Sciences with the Humanities and it shall spare no effort to do so.

Experimental psychology, and perception psychology as a part of it, is so interesting especially because it is concerned with mental processes but uses scientific methods. But Narziss Ach could not yet know that the language of the modern sciences is mathematics. One aim of this essay is to show how mental processes, here perception, can be described and understood in a better way through mathematics. Perception as inference, or what is researching perception for? One problem of researching perception is to make the non-specialist understand the difficulty of the perceptional process.

This is especially the case for vision. Open our eyes and, voila, there is the world. Vision is such an easy thing that metaphors for seeing are used to describe mental processes as if this was the most obvious thing. But our intuition leads us into the wrong direction here.

Logic and chess by far easier to understand and more trivial! People developed technical systems — software — that are much better than any human being at both drawing logical conclusions and playing chess.

Why do you think you still have to learn by heart so many different pins? Because no cash machine can recognise your face although this is so easy for children already and even for your slightly senile relatives. The sadly high number of traffic deaths shows as well how difficult it is to develop a camera-controlled system that automatically helps breaking.

On the one hand it should be effective enough to prevent collisions without on the other hand causing dozens of unnecessary emergency breakings and whiplash injuries every time we drive through a town. All the big car manufacturers have been working on this for years with gigantic effort but so far without any success. The most essential question about visual perception is probably the following. Our world is three-dimensional.

Pictures of three-dimensional objects are projected onto our two-dimensional retina, where two-dimensional patterns of the photoreceptors are created. From this two-dimensional picture the visual system has to deduce number, size, characteristics and the distance of these three-dimensional objects.

Mathematically this process is not unambiguously resolvable. It is always an interpretation of this information. However, perception as inference or unconscious conclusion an expressing coined by Hermann von Helmholtz should not be misunderstood as perceptual arbitrariness or as evidence for constructivism.

The calculation methods used seem to be rather universal. Hermann Ludwig Ferdinand von Helmholtz was one of the universal scholars of the 19th century. In the last part of his work Handbook of Physiological Optics he coined the expression of the unconscious conclusion for the necessary inference of perception. According to Helmholtz this unconscious conclusion in prerational, is drawn automatically and spontaneously, and neither can we introspectively understand why and how it was drawn, nor can we influence it.

Segmentation of objects from the background Perception does not aim at representing the world physically exactly like a photography in the brain. For human beings and animals vision makes it possible to evaluate the environment from a distance, to manipulate objects, to find something to eat and to become aware of dangers as early as possible. And since our visual system usually is so good at this, e. When for the sake of simplicity we reduce the observation to black and white pictures, the visual system should work out the intersection between objects.

The brightness differences or edges should be exposed and sharpened reasonably, like the digital picture editing in Adobe Photoshop tries, sharp and clear, but without artefacts.

And this means, like so often, to make a compromise. Too little and the tiger unfortunately does not stand out from the branches. Too much and we see too many object edges and thus different objects.

All we see are moving yellow and black stripes, but no longer do we see the tiger, which is as unfortunate or fatal even. The course of brightness from the left side to the right one, for example at the pink line in the upper half is shown in light blue.

The left outer third is completely light grey, the right outer third is almost black. In the middle third the brightness linearly changes from light grey to dark grey. These vertical light and dark stripes, the Mach stripes, only exist in our perception. Any technical device that measures brightness, like a photodiode that is found in most exposure meters of cameras, only measures the blue course of brightness, without the light and dark Mach stripes.

Figure 1. Mach stripes are so instructive since they lay open the inference process inherent in the conscious perception — here sharpening the edges — and reveal it as our constant companion. When the dark homogenous area is as black as physically possible, thus no single photon is reflected, you still see an even darker mach stripe — the mother of all blackness.

Below we will explain a simple strategy of how important object edges are filtered out of pictures. First low-pass filtering or smoothing 2. In section 2. The great majority of retina cells that transmit signals to the rest of the brain, signalise the local smoothened second derivation of the brightness to the visual cortex, and not the absolute brightness the physical picture.

Low-pass filtering smoothing In figure 2 as well there is a horizontal pink line in the upper half.

The light blue line again shows, like in figure 1 the brightness of the respective pixels level with the pink line. The upper dashed line marks the maximal brightness reached at the outer right, the light wall in the background , the lower dashed line marks the minimal brightness reached at the black glasses frame, around the middle of the picture.

Figure 2.


DE4229377A1 - Color punching process for image signals - Google Patents

The invention relates to a color punching process for a glare of a background image signal in by means of a Punching color marked punching areas of a front basic image signal, with fades between the image signals in proportional zones depending on a Control signal under transformation of in the Proportional zones occurring in the foreground signal Intermediate colors in new intermediate colors that create a transition from the color of the foreground image signal to that of the Form background image signal. Such a color stamping process, in which the over glare from the foreground image signal to the rear basic image signal and vice versa fluent in one Proportional was done in the older patent registration P 41 42 proposed. In the foreground image signal occur at the transition from the actual image content and its colors to the punching area and there provided color transition colors on the hard Switch from the foreground signal to the background signal to appear disruptive. Therefore, according to the above mentioned earlier patent application provided that About dazzle from the foreground image signal to the background To make the image signal soft while doing a transformation to make these transition colors. During the transformation the transition colors are based on the colors of the background image signal instead, so that the transition no longer colors from the color of the foreground image signal to the punch color but from the color of the foreground image signal to the color of the background image signal ver to run.


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