Lernkarten

Karten 151 Karten
Lernende 2 Lernende
Sprache English
Stufe Universität
Erstellt / Aktualisiert 01.11.2017 / 27.01.2018
Weblink
Einbinden
15 Exakte Antworten 59 Text Antworten 77 Multiple Choice Antworten

1/151

Fenster schliessen

8: Thus RBC theory claims that certain properties of the --- image are taken by rhe visual system as strong evidence that the edges in the --- world contain the same properties.

2D

3D

Fenster schliessen

8: The essential non-accidental properties of the generalized-cone components are:

curvature

collinearity

symmetry

parallelism

cotermination

Fenster schliessen

8: Prosopagnosia is a neuropsychological disorder in whch the patiant

cannot identify faces, but can recognize other types of objects

Fenster schliessen

8: A study of cells in IT cortex of ahuman patien showed that they responded to very specific stimuli, such as ---.

celebrities

Fenster schliessen

8: Which is a loosely defined stage of visual processing that comes after basic features have been extracted from the image, and before object recognition and scene understanding?

Mid-level-vision

Fenster schliessen

8: Which is a subordinate level category term?

Limousine

Fenster schliessen

8: Which is a superordinate level category term?

Vehicle

Fenster schliessen

8: Tarr and his colleagues found that the amount of time needed to recognize novel objects is at least partially determined by

the degree to which the object is rotated from ist studied view

Fenster schliessen

8: Viewpoint invariance refers to the idea that

objects schould be just as easy to recognize from any viewpoint

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for ---

hierarchical modular optimization

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

The HMO model belongs in the larger class of --- models, standing for --- model.

DNN

deep neural network

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

The HMO model's essential architectural characteristic is its --- : There are, for example, many --- connections and different parameter ---.

heteroogeneity

bypass

settings even at the same level

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

---, the basic operations performed locally are --- troughout the network.

However

the same

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

In the Yamins et al. (2014) article they report a large-scale modelling effort, evaluating around ---. Yamins et al. compared their models both to the response of cells in IT cortex (roughly N = --- cells) as well as on how well the models categorized a set of images (roughly N = --- images). One central finding was that models optimized for --- were also superior at --- .

5000DNN architectures

300 oder 100

6.000

categorization performance

explaining variance in IT

 

Fenster schliessen

8: Yasmins and colleagues from the DiCarlo lab at MIT published an artivle in 2014 in which the presented their HMO model, standing for hierarchical modular optimization.

In order to obtain a categorization performance from the HMO model, a --- decoder was --- the activity of units at the --- level(s) of the HMO network. Using such a procedure, the HMO model's performance was --- than that of --- models of object recognition on the difficult  --- variation task.

linear

trained on

highest

better

both computer vision and neuronally inspired

high

Fenster schliessen

1: Which UV light is typically most harmfull for human skin outside, at sea level during the day?

UV-A (315 - 400 nm)

UV-B (280 - 315 nm)

UV-C (100 - 280 nm)

Fenster schliessen

1: How is UV light classified into A, B and C?

Based on their energy rations relativ to IR light

Based on their biological effect

Based on their chemical effect

Based on their ozone generating effect

Fenster schliessen

1: The energy of light ...

is increasing linearly with wavelength (i.e. monochromatic red light has most energy)

is increasing linearly with frequency (i.e. monochromatic blue light has most energy)

is constant in the visible range

depends nonlinearly on both wavelength and frequency

is increasing exponentially with wavelength (i.e. monochromatic red light has most energy)

Fenster schliessen

1: The range of the wavelenghts of visible light ranges from --- to --- .

400 - 770 nm

Fenster schliessen

1: The range of wavelengths of ultraviolet (UV) Light ranges from --- to ---.

100 - 400 nm

Fenster schliessen

1: The range of wavelengths of near infrared (IR) light ranges from --- to ---.

770 - 1400 nm

Fenster schliessen

1: The human photopic luminosity function V (lambda) is obtained through

psychophysical tests of the perceived relative intensity of light of different wavelengths

psychophysical tests of the objective relative intensity of light of different wavelengths

physiological tests of the relative intensity of light of different wavelengths

physiological measurements of the L-, M- and S- cone absorptions as a function of wavelength

Fenster schliessen

1: If you want to measure optic radiation as a vision scientist in terms of perceived brightness you tipically are interested in

radiometry

photometry

colorimetry

Fenster schliessen

1: What are the three main types of light reflection at surfaces

specular

diffuse

spread

Fenster schliessen

1: Which UV light is most harmfull for human skin if directly (artificially) applied by some device?

UV-A (315 - 400 nm)

UV-B (280 -315 nm)

UV-C (100-280 nm)

Fenster schliessen

1: Irradiance is a measure of radiometrc flux per unit area, or flux density. Thus irradiance ..

increases with the square of the distance to the source

decreases with the square of the distance to the source

is independant of the distance to the source

increases linearly with the distance to the source

decreases linearly with the distance to the source

Fenster schliessen

1: Black-body radiation is ermitted by a black body (an opaque and non-reflective body) held at constant, uniform temperature.

The radiation has aspecific spectrum and intensity that depends only on the temperature of the body. The concept of the black body is an idealization, as perfect black bodies do not exist in nature. Pure graphite, however is a good approximation to a black maerial.

Extraterrestrial solar irradiance matches well to a Blackbody at --- K.

Warm, reddish light corresponds to Blackbody temeratures --- --- K.

Cold, blueish light corresponds to Blackbody temperatures --- --- K.

5800 K

below 3000 K

above 5000 K

Fenster schliessen

1: Luminance is a measure of the photometric flux density per unit solid viewing angle, expressed in candela per square meter.

For ----- area sources luminance --- .

large and homogeneous

is independant of the distance to the source

Fenster schliessen

1 :Radiometric techniques characterize

 

 

radiometric power by counting the number of photons

the light's interaction with the human eye

the distribution of the radiation's power in space

Fenster schliessen

2: Consider the shift-invarient system f with time-varying input x(t) and time-varying response y(t).

y(t) = f [x(t)]

Sinewaves are the eigenfunctions of a shift-invarient linear system. Which of the following mathematical statements express this fact correctly?

f [\alpha \;sin (2\pi\omega t\; +\; \psi)] = \beta\;sin  (2\pi\omega t\; + \phi)

f [alpha sin (2 pi omega t + psi)] = beta sin (2 pi omega t + phi)

f [alpha sin (2 pi omega t + psi)] = alpha sin (2 pi omega t + phi)

f [alpha sin (2 pi omega t + psi)] = sin (2 pi alpha omega t + phi)

f [alpha sin (2 pi omega t + psi)] = beta sin (2 pi omega t + psi)

f [alpha sin (2 pi omega t + psi)] = alpha sin (2 pi omega t + psi)