Welcome to the Laboratory of Computational Computer Vision (LCCV) at the Georgia Institute of Technology, Atlanta, GA.

The lab is led by Dr. Anthony Yezzi, Ken Byers Professor in the Electrical and Computer Engineering (ECE) department, to conduct research in the areas of Systems and Controls, Image Processing and Computer Vision.

Recent Submissions

  • Fusion of Visible and X-Ray Sensing Modalities for the Enhancement of Bone Detection in Poultry Products 

    Vachtsevanos, George; Daley, Wayne D.; Heck, Bonnie S.; Yezzi, Anthony; Ding, Yuhua (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2000)
    The U.S. demand for deboned chicken has risen greatly in the past 5 years, with the expectations that this demand will oniy continue at an accelerated level. The standard inspection process for bones in meat is for workers ...
  • Fast Mumford-Shah Segmentation using Image Scale Space Bases 

    Alvino, Christopher V.; Yezzi, Anthony (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2007)
    Image segmentation using the piecewise smooth variational model proposed by Mumford and Shah is both robust and computationally expensive. Fortunately, both the intermediate segmentations computed in the process of the ...
  • Fast Approximate Surface Evolution in Arbitrary Dimension 

    Malcolm, James; Rathi, Yogesh; Yezzi, Anthony; Tannenbaum, Allen (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008)
    The level set method is a popular technique used in medical image segmentation; however, the numerics involved make its use cumbersome. This paper proposes an approximate level set scheme that removes much of the computational ...
  • A Regions of Confidence Based Approach to Enhance Segmentation with Shape Priors 

    Appia, Vikram V.; Ganapathy, Balaji; Abufadel, Amer; Yezzi, Anthony; Faber, Tracy (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2010)
    We propose an improved region based segmentation model with shape priors that uses labels of confidence/interest to exclude the influence of certain regions in the image that may not provide useful information for ...
  • A Simple Shape Prior Model for Iris Image Segmentation 

    Bishop, Daniel A.; Yezzi, Anthony, Jr. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2011)
    In order to make biometric systems faster and more user-friendly, lower-quality images must be accepted. A major hurdle in this task is accurate segmentation of the boundaries of the iris in these images. Quite ...
  • Offshore stereo measurements of gravity waves 

    Benetazzo, Alvise; Fedele, Francesco; Gallego, Guillermo; Shih, Ping-Chang; Yezzi, Anthony (Georgia Institute of Technology, 2012-06)
    Stereo video techniques are effective for estimating the space-time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is ...
  • Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach 

    Appia, Vikram; Ganapathy, Balaji; Yezzi, Anthony; Faber, Tracy (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-11)
    We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divisions) in an image and then combines these ...
  • Active Geodesics: Region based Active Contour Segmentation with a Global Edge based Constraint 

    Appia, Vikram; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-11)
    We present an active geodesic contour model in which we constrain the evolving active contour to be a geodesic with respect to a weighted edge-based energy through its entire evolution rather than just at its final state ...
  • A Compact Formula for the Derivative of a 3-D Rotation in Exponential Coordinates 

    Gallego, Guillermo; Yezzi, Anthony (Georgia Institute of TechnologySpringer, 2014-08)
    We present a compact formula for the derivative of a 3-D rotation matrix with respect to its exponential coordinates. A geometric interpretation of the resulting expression is provided, as well as its agreement with ...
  • A Real-Time Curve Evolution-Based Image Fusion Algorithm for Multisensory Image Segmentation 

    Ding, Yuhua; Vuchtsevunos, George J.; Yezzi, Anthony; Daley, Wayne; Heck-Ferri, Bonnie S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-04)
    A partial differential equation (PDE)-based feature-level image fusion approach is proposed for multisensory image segmentation. The energy functional of the proposed fusion model is a weighted sum of several functionals, ...
  • A Recursive Segmentation and Classification Scheme for Improving Segmentation Accuracy and Detection Rate in Real-time Machine Vision Applications 

    Ding, Yuhua; Vachtsevanos, George J.; Yezzi, Anthony; Zhang, Yingchuan; Wardi, Yorai (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2002)
    Segmentation accuracy is shown to be a critical factor in detection rate improvement. With accurate segmentation, results are easier to interpret, and classification performance is better. Therefore, it is required to ...
  • Projected Mean Curvature Smoothing for Vector-Valued Imagery 

    Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1998-04)
    In this note, we formulate a general modified mean curvature based equation for image smoothing and enhancement. The key idea is to consider the image as a graph in some Rⁿ, and apply a mean curvature type motion to the ...
  • A Variational Framework for Joint Segmentation and Registration 

    Yezzi, Anthony; Zöllei, Lilla; Kapur, Tina (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-12)
    Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other: In this paper, we introduce a ...
  • A Summary of Geometric Level-Set Analogues for a General Class of Parametric Active Contour and Surface Models 

    Xu, Chenyang; Yezzi, Anthony; Prince, Jerry L. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001)
    Geometric active contours (GACs) and surfaces (GASs) implemented via level set techniques enjoy many advantages over parametric active contours (PACs) and surfaces (PASs), such as computational stability and the ability ...
  • Medical Image Segmentation via Coupled Curve Evolution Equations with Global Constraints 

    Yezzi, Anthony; Tsai, Andy; Willsky, Alan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2000-06)
    In this work we modify the couple d curve evolution approach to snakes presented by the authors in previous work for bimodal and trimodal imagery through the introduction of global constraints. The key idea, as before, ...
  • More-Than-Topology-Preserving Flows for Active Contours and Polygons 

    Sundaramoorthi, Ganesh; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005-10)
    Active contour and active polygon models have been used widely for image segmentation. In some applications, the topology of the object(s) to be detected from an image is known a priori, despite an unknown complex ...
  • Non-Euclidean Image-Adaptive Radial Basis Functions for 3D Interactive Segmentation 

    Mory, Benoit; Ardon, Roberto; Yezzi, Anthony; Thiran, Jean-Philippe (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-09)
    In the context of variational image segmentation, we propose a new finite-dimensional implicit surface representation. The key idea is to span a subset of implicit functions with linear combinations of spatially-localized ...
  • Tales of Shape and Radiance in Multi-view Stereo 

    Soatto, Stefano; Yezzi, Anthony; Jin, Hailin (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-10)
    To what extent can three-dimensional shape and radiance be inferred from a collection of images? Can the two be estimated separately while retaining optimality? How should the optimality criterion be computed? When is ...
  • Stereoscopic Segmentation 

    Yezzi, Anthony; Soatto, Stefano (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-07)
    We cast the problem of multiframe stereo reconstruction of a smooth shape as the global region segmentation of a collection of images of the scene. Dually, the problem of segmenting multiple calibrated images of an ...
  • A Statistical Approach to Snakes for Bimodal and Trimodal Imagery 

    Yezzi, Anthony; Tsai, Andy; Willsky, Alan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1999-09)
    In this paper, we describe a new region-based approach to active contours for segmenting images com- posed of two or three types of regions characterizable by a given statistic. The essential idea is to derive curve evolutions ...

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