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, […]
Matthias Grundmann’s PhD Thesis Defense (2013): “Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation”
Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Matthias GrundmannSchool of Interactive ComputingCollege of ComputingGeorgia Institute of TechnologyDate: February 04, 2013 (Monday)Time: 3:00p – 6:00p ESTLocation: Nano building, 116-118 Abstract: In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge […]
Mitch Parry (2007), Separation and Analysis of Multichannel Signals PhD Thesis [PDF], Georgia Institute of Techniology, College of Computing, Atlanta, GA. (Advisor: Irfan Essa) Abstract This thesis examines a large and growing class of digital signals that capture the combined effect of multiple underlying factors. In order to better understand these signals, we would like […]
Vivek Kwatra (2005), “Example-based Rendering of Textural Phenomena”PhD Thesis, Georgia Institute of Technology, College of Computing (Advisors: Aaron Bobick, Irfan Essa) [URI], 19-Jul-2005 Abstract This thesis explores synthesis by example as a paradigm for rendering real-world phenomena. In particular, phenomena that can be visually described as texture are considered. We exploit, for synthesis, the self-repeating […]
Thesis: Drew Steedly PhD (2004): "Rigid Partitioning Techniques for Efficiently Generating 3D Reconstructions from Images"
Drew Steedly (2004)“Rigid Partitioning Techniques for Efficiently Generating 3D Reconstructions from Images”PhD Thesis, Georgia Institute of Technology, College of Computing. (Advisor: Irfan Essa) [PDF] [URI] Abstract This thesis explores efficient techniques for generating 3D reconstructions from imagery. Non-linear optimization is one of the core techniques used when computing a reconstruction and is a computational bottleneck […]
We define a Spine as a branching axial structure representing the shape and topology of a 3D objects limbs, and capturing the limbs correspondence and motion over time. … In general, our approach combines the objectives of generalized cylinders, 3D scanning, and markerless motion capture to generate baseline models from real puppets, animals, and human subjects.
Antonio Haro (2003) “Example based processing for image and video synthesis” PhD Thesis, Georgia Institute of Technology, College of Computing, Atlanta, GA, [URI] [PDF] (Advisor: Irfan Essa) Abstract: The example based processing problem can be expressed as: “Given an example of an image or video before and after processing, apply a similar processing to a […]
Thesis: Irfan Essa’s PhD Thesis (1994): “Analysis, interpretation and synthesis of facial expressions”
This thesis describes a computer vision system for observing the “action units” of a face using video sequences as input. The visual observation (sensing) is achieved by using an optimal estimation optical flow method coupled with a geometric and a physical (muscle) model describing the facial structure. This modeling results in a time-varying spatial patterning of facial shape and a parametric representation of the independent muscle action groups responsible for the observed facial motions. These muscle action patterns are then used for analysis, interpretation, recognition, and synthesis of facial expressions. Thus, by interpreting facial motions within a physics-based optimal estimation framework, a new control model of facial movement is developed. The newly extracted action units (which we name “FACS+”) are both physics and geometry-based and extend the well-known FACS parameters for facial expressions by adding temporal information and non-local spatial patterning of facial motion.