CSE 4310 Quiz 1

What is computer vision (CV)?

Teaching machines to interpret/understand visual data (images/video).

What’s the basic CV pipeline?

Image/video → sensing (camera/eye) → interpretation (computer/brain) → meaning.

Why is computer vision interdisciplinary?

It combines CS + math + physics + engineering + perception/biology + ML/AI.

What’s the “core gap” CV tries to bridge?

Pixels/numbers → real-world meaning (objects, actions, scenes).

Why is vision considered “important” for humans?

Huge portion of the brain processes visual information.

Why use machines for vision?

Automation, precision, speed, and sensing beyond human vision.

What is “machine vision” in industry?

Automated inspection/quality control using cameras + algorithms.

Example of CV in shopping/retail?

Recognizing products (like produce) for automated checkout.

Face detection vs face analysis—what’s the difference?

Detection finds faces; analysis classifies attributes (smile/age/etc.).

What does a “face makeover” app need to do?

Locate face, align features/landmarks, then modify appearance realistically.

What’s the core idea behind leaf identification apps?

Segment the leaf + extract features + classify against a database.

What does Word Lens-style translation require?

Detect text (OCR) + track the scene + translate + overlay results.

What is the “selling point” of real-time translation overlays?

Translation appears directly on the live camera view (AR feel).

How is the football first-down line possible?

Camera calibration + tracking + field model + consistent overlay.

What does car “night vision” use CV for?

Detecting pedestrians/objects using sensors like infrared.

What is an “around view” parking system?

Stitching multiple cameras into a composite bird’s-eye view.

What’s a key challenge in bird’s-eye camera systems?

Aligning/stitching views correctly (geometry + calibration).

Why did vision in cars accelerate (around 2015)?

Better sensors + compute + deep learning improved detection/understanding.

What is image stitching used for?

Building panoramas or merged views by aligning overlapping images.

What is Photosynth-style reconstruction about?

Using many photos to build navigable/3D-like scene representations.

What does “virtual fitting” require?

Body/pose estimation + realistic overlay/warping of clothing.