PPT-Object Recognition and Feature Detection Using MATLAB

Sadhana Venkataraman 1 Yukai Tomsovic 2 Ms Gangotree Chakma 3 Farragut High School 1 West High School 2 University of Tennessee Knoxville 3 TOPICS Introduction Edge Detection. Radar Imagery. The Center for Remote Sensing of Ice Sheets (CReSIS) has developed many radars that operate over the frequency range from 140 to 230 MHz with multiple receivers developed for airborne sounding, and imaging of ice sheets. Understanding the echogram data depends on knowing the process of how radar waves interact with natural surfaces. . R. K. Sharma. Thapar university, . patiala. . Handwriting Recognition System. The . technique by which a computer system can recognize characters and other symbols written by hand in natural handwriting is called handwriting recognition (HWR) system. . Can you detect an abrupt change in this picture?. Ludmila. I . Kuncheva. School of Computer Science. Bangor University. Answer – at the end. Plan. Zeno says there is no such thing as change.... If change exists, is it a good thing?. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Agenda. Leveraging. the . power. . of. . vector. and matrix operations in MATLAB. ®. . . - Demonstration: . Preallocation. and . vectorization. How. . does. MATLAB. ®. store and . provide. Oscar . Danielsson. (osda02@kth.se). Stefan . Carlsson. (. stefanc@kth.se. ). Outline. Detect all Instances of an Object Class. The classifier needs to be fast (on average). This is typically accomplished by:. . USING MODIFIED GENERALISED HOUGH TRANSFORM. Samara National Research . University. Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences. Facebook AI Research. Wenchi. Ma. Data: 11/04/2016. More information from object detection. More information from object detection. More information from object detection. Object Detection for now with Deep Learning. 1. Content. What is . OpenCV. ?. What is face detection and . haar. cascade classifiers?. How to make face detection in Java using . OpenCV. Live Demo. Problems in face detection process. How to improve face detection. Ellen Johnson. MathWorks. Overview. MATLAB capabilities and domain areas. Scientific data in MATLAB. HDF5 interface. NetCDF interface. Big Data in MATLAB. MATLAB data analytics workflows. RESTful web service access. Sadhana Venkataraman. 1. , Yukai Tomsovic. 2. , Ms. Gangotree Chakma. 3. Farragut High School. 1. , West High School. 2. , University of Tennessee Knoxville. 3. TOPICS. Introduction. Edge Detection. computation . tools. .. Others include. Maple. Mathematica. MathCad. MATLAB Excels at. Numerical calculations. Especially involving matrices. Graphics. MATLAB stands for . Mat. rix . Lab. oratory. Why MATLAB. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA.