
Geometric Image Features in Computer Vision
Authored by Indu J
Computers
University

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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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