About this Specialization
This specialization presents the first comprehensive treatment of the foundations of computer vision. It focuses on the mathematical and physical underpinnings of vision and has been designed for learners, practitioners and researchers who have little or no knowledge of computer vision. The program includes a series of 5 courses. Any learner who completes this specialization has the potential to build a successful career in computer vision, a thriving field that is expected to increase in importance in the coming decades.
| From | Columbia University via Coursera |
|---|---|
| Hours | 165 |
| Instructor | Shree Nayar |
| Language | English |
| Subjects | Programming |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Computer Vision Specialist $74k
Computer Vision - Engineer $76k
Computer Vision Engineer (SME) $78k
Computer Vision & 3D Perception $84k
Computer Vision Software Developer $84k
Sensors & Computer Vision Engineer $85k
Computer Scientist, Vision & Learning $88k
Computer Vision R&D Scientist $98k
Computer Vision Algorithms Engineer $100k
Applied Scientist, Computer Vision $156k
Research Scientist, Computer Vision $163k
Senior Computer Vision Scientist $187k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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Jul |
This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning... Coursera | Columbia University |
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Jul |
This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including... Coursera | Columbia University |
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Jul |
3D Reconstruction - Single Viewpoint This course focuses on the recovery of the 3D structure of a scene from its 2D images. In particular, we are interested in the 3D reconstruction of a rigid scene from images taken... Coursera | Columbia University |
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Jul |
3D Reconstruction - Multiple Viewpoints This course focuses on the recovery of the 3D structure of a scene from images taken from different viewpoints. We start by first building a comprehensive geometric model of a... Coursera | Columbia University |
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Jul |
Visual Perception (You were viewing this course) The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception.... Coursera | Columbia University |
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| From | Columbia University via Coursera |
|---|---|
| Hours | 165 |
| Instructor | Shree Nayar |
| Language | English |
| Subjects | Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Computer Vision Specialist $74k
Computer Vision - Engineer $76k
Computer Vision Engineer (SME) $78k
Computer Vision & 3D Perception $84k
Computer Vision Software Developer $84k
Sensors & Computer Vision Engineer $85k
Computer Scientist, Vision & Learning $88k
Computer Vision R&D Scientist $98k
Computer Vision Algorithms Engineer $100k
Applied Scientist, Computer Vision $156k
Research Scientist, Computer Vision $163k
Senior Computer Vision Scientist $187k
Similar Courses
Sorted by relevance
