455 research outputs found

    CEG 725: Computer Vision II

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    In this course we will learn computer algorithms that interpret images. Some of the algorithms will be practiced through computer implementation

    CEG 739: Medical Image Analysis

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    This course discusses applications of image analysis in medical imaging. Methods for analysis of both 2-D and 3-D (volumetric} images are covered

    CEG 726-01: Pattern Recognition

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    This course will cover fundamentals of Pattern Recognition, including supervised learning and clustering

    CEG 725-01: Computer Vision II

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    CEG 790-01: Medical Image Analysis

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    CEG 777-01: Computer Aided Geometric Design

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    To cover the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creation of free-form shapes

    CEG 777-01: Computer Aided Geometric Design

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    This course covers the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creating of free-form shapes. Materials covered in the course will be useful in game design and also in visualization of exploratory data

    CEG 724: Computer Vision I

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    This course cover basic techniques for low-level and some mid-level vision processing. The techniques include: image filtering, intensity thresholding, edge detection, 2-D shape analysis, line and circle detection, corner detection, pattern matching

    CEG 724: Computer Vision I

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    This course cover basic techniques for low-level and some mid-level vision processing. The techniques include: image filtering, intensity thresholding, edge detection, 2-D shape analysis, line and circle detection, corner detection, pattern matching

    CEG 724-01: Computer Vision I

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    This course covers basic algorithms for low-level and mid-level vision. The algorithm; deal with edge detection and image segmentation, feature detection and matching, and image alignment. Also covered in the course are structure from motion, dense motion estimation, and stereo depth percepti01
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