Today, the Inaugural Offering of the Computational Photography (CS 6475) was launched for the Georgia Tech’s Online MSCS Program using the Udacity platform. Course Description CS 6475* (3-0-3): Computational Photography – (Instructor: Irfan Essa) – This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to […]
Abstract In this talk, I will start by describing the pervasiveness of image and video content and how such content is growing with the ubiquity of cameras. I will use this to motivate the need for better tools for the analysis and enhancement of video content. I will start with some of our earlier work […]
Hosted the 3rd Computation + Journalism Symposium 2014 at The Brown Institute for Media Innovation in the Pulitzer Hall, Columbia University, New York, NY, USA, on October 24-25. It was a huge success with about 250 attendees, and mixture of invited panels and contributed papers. More details below: Symposium Website AJR’s preview of the C+J Event by […]
Paper Abstract A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured Assessment of Technical Skills (OSATS) assessments is replicated, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis […]
Abstract We present an algorithm to estimate depth in dynamic video scenes. We present an algorithm to estimate depth in dynamic video scenes.We propose to learn and infer depth in videos from the appearance, motion, occlusion boundaries, and geometric context of the scene. Using our method, depth can be estimated from unconstrained videos with no […]
Abstract We present an efficient and scalable algorithm for seg- menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving window over several point clouds to group similar regions over a graph, resulting in an initial over-segmentation. These regions are then merged […]
Thesis title: Surgical Skill Assessment Using Motion Texture analysisYachna Sharma, Ph. D. Candidate, ECEhttp://users.ece.gatech.edu/~ysharma3/ Committee: Prof. Irfan Essa (advisor), College of ComputingProf. Mark A. Clements (co-advisor), School of Electrical and Computer EngineeringProf. David Anderson, School of Electrical and Computer EngineeringProf. Anthony Yezzi, School of Electrical and Computer EngineeringProf. Christopher F. Barnes, School of Electrical and […]
Title : Temporally Consistent Semantic Segmentation in VideosS. Hussain Raza, Ph. D. Candidate in ECE (https://sites.google.com/site/shussainraza5/) Committee: Prof. Irfan Essa (advisor), School of Interactive Computing Prof. David Anderson (co-advisor), School of Electrical and Computer Engineering Prof. Frank Dellaert, School of Interactive Computing Prof. Anthony Yezzi, School of Electrical and Computer Engineering Prof. Chris Barnes, School […]
Title: Automatic recognition of American Sign Language Classifiers Zahoor ZafrullaSchool of Interactive ComputingCollege of ComputingGeorgia Institute of Technologyhttp://www.cc.gatech.edu/grads/z/zahoor/ Committee: Dr. Thad Starner (Advisor, School of Interactive Computing, Georgia Tech) Dr. Irfan Essa (Co-Advisor, School of Interactive Computing, Georgia Tech) Dr. Jim Rehg (School of Interactive Computing, Georgia Tech) Dr. Harley Hamilton (School of Interactive Computing, […]
Abstract The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time-consuming and often their outcomes vary substantially from one observer to another. We present a video-based framework for automated evaluation of surgical skills based on the Objective Structured Assessment of Technical Skills (OSATS) criteria. […]