OpenCV is an open source computer vision and machine learning software library. It can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.

1. OpenCV
Open Source Computer VisionLibrary
VitalyTsaplin@Genedata,Basel, Switzerland
2014August

2. What is OpenCV?
› Computervision and machinelearningsoftwarelibrary
› Cross-platform,writtenin C/C++,hardwareaccelerated
› Has morethan 2500optimizedalgorithms
› Supports C/C++, Python, Java andMATLAB
› Numberofdownloads exceeding7 million
› 47 thousandpeopleofuser community

3. Information
› Officiallylaunched in 1999 byIntelResearch
› Main contributors areexpertsfrom IntelRussiaandIntel’s
PerformanceLibrary Team
› Thefirst1.0 version wasreleasedin 2006
› In August2012,supportwas takenover by anon-profitfoundation
OpenCV.org
› Usedby companieslikeGoogle,Yahoo, Microsoft,Intel,IBM, Sony,
Honda, Toyota

4. Applications
› Egomotionestimation
› Facialrecognition system
› Segmentationand Recognition
› Object identification
› Structure frommotion(SFM)
› Motiontracking
› Augmentedreality

5. Examples of use
› Stitchingstreetviewimagestogether
› Inspectinglabelson products
› Rapidfacedetection
› Helping robotsnavigateand pick up objects
› Detectionofswimmingpooldrowning accidents
› Running interactiveart
› Checkingrunways fordebris

6. Fun with OpenCV
3Dreconstruction Featuredetection Gesturerecognition
Facial recognition Objecttracking Sudokusolver

7. Questions?