Untitled Deck Flashcards

(35 cards)

1
Q

How to calculate row based index

A

row * width + col

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2
Q

How to calculate col based index

A

col * height + row

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3
Q

In a grey scale image what does a hihg peak in the histogram indicate?

A

high levels of noise?

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4
Q

where does image noise tend to be in images (in terms of frequency)

A

high frequency values

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5
Q

what do low frequencies relate to in images

A

overall structure

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6
Q

What is the purpose of using an image pyramid in a coarse-to-fine template matching strategy?

A

To initialise matching at coarse scales before refining at finer scales

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7
Q

In least squares line fitting, what parameters are estimated?

A

Slope and intercept

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8
Q

are parallel lines after an affine warp preserved?

A

yes

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9
Q

what method is best for outliers or occlusions

A

RANSAC

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10
Q

what happens to the ratios during an affine transform

A

They are preserved

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10
Q

what happens to circles during affine transform

A

they become elipses if scaled non uniformly

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11
Q

The closed‐form least squares solution

A

β=(X^TX) ^−1 X ^TY

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12
Q

when are lsm params refined

A

they are refined continuously for sub - pixel result

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13
Q

by how much does pyramid downsample?

A

2 it halves width and height

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14
Q

how many degrees of freedom does a 2x2 mat have?

A

8

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15
Q

what are advantages of local feature descriptors

A

efficiency,extensibilty,robsutness to occlusion,distinctiveness

16
Q

when is ransac used?

A

It is used in matching

17
Q

standard sift has how many dims

18
Q

what does ransac stand for?

A

random sample consensus

19
Q

what is hte first step in feature based alignment

A

Extract keypoints and compute descriptors

20
Q

In stereo vision, the disparity 𝑑 at pixel coordinate (x,y) is defined as:

A

The horizontal offset between matching pixels in left and right images

21
Q

Dynamic programming in scanline stereo primarily enforces which constraint?

A

DP finds the optimal, non‐crossing match path along the scanline.

22
Q

In dynamic‐programming stereo, occlusion penalties should be set:

A

Much larger than a typical match cost, to avoid excessive skipping.

23
Q

what does sgm do with matching costs?

A

Aggregates matching costs along multiple one‐dimensional paths.

24
what does sgm penalize for smooth surfaces
disparity jumps
25
what does sgm achieve?
Achieves pixel‐wise accuracy at low runtime.
26
In the term “semi‐global matching,” “semi‐global” refers to:
Minimizing an energy function along multiple one‐dimensional paths rather than a full two‐dimensional field.
27
what is dense stereo matching more sensitive to
textureless features and occlusions
28
The Middlebury stereo benchmark is known for:
a. Providing ground‐truth disparity maps for real and synthetic scenes. b. Comparing numerous stereo algorithms under common metrics. d. Using a small, fixed stereo rig with known calibration. e. Including the “Tsukuba” and “Venus” datasets.
29
Which artifacts commonly arise from per‐scanline (DP) stereo without cross‐scanline regularization?
a. Streaking along the scanlines. Depth discontinuities at occlusion boundaries.
30
Which factor primarily determines the perceived colour of light reflected from a surface?
The product of the incident light’s spectral power distribution and the surface’s reflectance
31
Core definition of colour constancy.
Perceived object colour remains roughly constant under different illumination spectra
32
how many rods and how many cones?
6 million cones 120 million rods
33
hat image compresssion doe spng use?
Lempel-Ziv-Welch coding
34