The full stereo computer vision problem consists of taking two images of a scene (a left-eye image and a right-eye image, actually taken with a camera or two cameras), and computing a maximum-length pattern from them, using the slight differences between the images. We will focus on a small but key part of this problem: the problem of taking a pair of scanlines (one from each image) and determining the correspondence between pixels. If left scanline L:  [1, 0, 0, 1, 0, 1, 0, 1] and right scanline R: [0, 1, 0, 1, 1, 0, 1, 1, 0] are two list of numbers that represents the pixel values then compute a maximum-length common subsequence of L and R.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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The full stereo computer vision problem consists of taking two images of a scene (a left-eye image and a right-eye image, actually taken with a camera or two cameras), and computing a maximum-length pattern from them, using the slight differences between the images. We will focus on a small but key part of this problem: the problem of taking a pair of scanlines (one from each image) and determining the correspondence between pixels. If left scanline L:  [1, 0, 0, 1, 0, 1, 0, 1] and right scanline R: [0, 1, 0, 1, 1, 0, 1, 1, 0] are two list of numbers that represents the pixel values then compute a maximum-length common subsequence of L and R.

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