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Geometric Image Features in Computer Vision

Authored by Indu J

Computers

University

Geometric Image Features in Computer Vision
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20 questions

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1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Why are geometric image features important in computer vision?

Image Registration

Scene Reconstruction

Robust Matching and Tracking

Invariance to Noise and Transformations

Object Detection and Recognition

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to a 3D point when projected onto a 2D image?

It becomes a 2D point in the image

It remains a 3D point

It collapses into a line

It becomes a shadow

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What do L-junctions suggest in line drawings?

A corner

Occlusion

A concave corner

A convex object

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of occluding contours in image projection?

They define the visible boundary in the 2D image

They create shadows

They enhance color

They distort the image

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the curvature of a curve tell us?

How sharply a curve bends at a point

The length of the curve

The color of the curve

The direction of the curve

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Gauss map capture in relation to curves?

The geometry of a curve by tracking direction changes.

The curvature of a surface in 3D.

The normal vector at each point on a curve.

The tangent vector at a point on a surface.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the osculating plane?

The plane that best fits the curve at a point.

A flat surface that cuts through the curve.

The plane containing the normal vector only.

The plane that represents the tangent vector.

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