18 Questions
What is the purpose of digitization in image acquisition?
To convert the continuous image into a discrete grid
What type of radiation is most widely used for visualization of objects and scenes?
Electromagnetic radiation
What is the range of wavelengths of visible light that is important for human and computer vision?
400 to 800 nm
What is the process of projecting the radiation originating from the 3-dimensional scene onto a 2-dimensional image plane?
Image formation
What is the purpose of sampling in digitization?
To measure the radiation at discrete points on the image plane
What is the result of digitization in the spatial domain and amplitude domain?
A digital image
What is the main reason for the impression of motion in videos generated by a sequence of still images?
The frame-rate of the camera
What is the process of mapping analog/continuous samples onto a discrete set of values?
Quantization
What is the effect of quantization on the digitization process?
It introduces errors into the digitization process
What is the outcome of the sampling process in the frequency domain?
A periodic replication of the spectrum of the sampled function
What is the role of the sampling function in the sampling process?
To describe the effects of sampling in continuous space
What is stored in the quantization process?
Indices i of discrete quantities bi
What is the topology of the sensor arrangement in most image acquisition systems?
Regular 2-dimensional array
What determines the quantization process?
Quantized values and associated intervals
What is the characteristic of the quantization curve?
Not necessarily linear
What is the purpose of the measurement in image acquisition?
To measure the intensity of the image
What is the expression for the sampling function in the spatial domain?
s(x, y) = ∞ ∑ m=−∞ ∞ ∑ n=−∞ δ(x − m · ∆x, y − n · ∆y )
What is the result of convolving the signal function with the sampling function?
The sampled signal function with periodic replications
Learn about image formation and digitization in computer vision, including absorption, emission, and radiation of objects and scenes. Understand how imaging systems project 3D scenes onto 2D image planes.
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