First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
Detecting Blobs | SIFT Detector
Теги
Blobsfirst derivative of Gaussiansecond derivative of Gaussiancharacteristic scaleblob sizeLaplacian of GaussianNormalized Laplacian of GaussianLOG filterNLOG filterscale spacefirst principlescomputer visioncomputational imagingcomputational photographyShree NayarColumbia Vision LaboratoryCAVE LaboratoryComputer ScienceColumbia EngineeringSchool of Engineering and Applied SciencesColumbia University
