Paper: An Introduction to Projective Geometry (http://robotics.stanford.edu/%7Ebirch/projective/)
3D Computer Vision is the area of Computer Vision that studies how we can recreate 3D images of a 3D object, as opposed to normal cameras that create a 2D image of a 3D object. Application of this is abundant today: from Apple X's Augmented Reality applications, 3D Facial Recognition to latest news today Google Pixel use of Depth in images to create bokeh/Portrait images. Projective Geometry is the bread and butter of 3D Computer Vision. During this talk, we will see how Projective Geometry allows us to model the imaging process of a camera. Projective Geometry allows much more richer transformations than just translation and rotation possible in Euclidean Geometry. We will discuss how we can use Projective Geometry for various Computer Vision Problems: like Stereo, 3D Reconstruction etc.
It is a Joint session of Bangalore Computer Vision Meetup and PWL group.
Mr. Sumod Mohan, CTO - Digital Aristotle & Head - CVD, Soliton Technologies
Mr. Shivarajkumar Magadi, R&D Lead - CVD, Soliton Technologies