[amp_mcq option1=”edge detection” option2=”binocular vision” option3=”model-based vision” option4=”robot vision E. None of the above” correct=”option3″]<\/p>\n
The correct answer is: C. model-based vision<\/strong>.<\/p>\n Model-based vision is a computer vision technique that uses a model of the world to interpret images. The model can be a 3D model of the scene, or it can be a 2D model of the object that is being viewed. The model is used to identify features in the image that match features in the model, and then to use those features to reconstruct the scene or object.<\/p>\n Edge detection is a computer vision technique that identifies edges in an image. Edges are points in an image where there is a sudden change in brightness or color. Edge detection can be used to find objects in an image, to track the movement of objects, and to measure the distance between objects.<\/p>\n Binocular vision is a computer vision technique that uses two images of the same scene to create a 3D image. Binocular vision is used in many applications, such as 3D modeling, 3D printing, and augmented reality.<\/p>\n Robot vision is a computer vision technique that is used to help robots navigate and interact with the world around them. Robot vision is used in many applications, such as manufacturing, logistics, and healthcare.<\/p>\n None of the above options are computer vision techniques that rely on image templates.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”edge detection” option2=”binocular vision” option3=”model-based vision” option4=”robot vision E. None of the above” correct=”option3″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[676],"tags":[],"class_list":["post-17247","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","no-featured-image-padding"],"yoast_head":"\n