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Displaying 1-50 out of 50 total
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:April 2005
pp. 481
No summary available.
 
Introduction of New Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:February 2008
pp. 195-196
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman,David Fleet
Issue Date:October 2007
pp. 1681-1682
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:June 2005
pp. 833-834
No summary available.
 
Localizing Parts of Faces Using a Consensus of Exemplars
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Peter N. Belhumeur,David W. Jacobs,David J. Kriegman,Neeraj Kumar
Issue Date:December 2013
pp. 2930-2940
We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of global models for the part locations based on over 1,000 hand-labeled exemplar images. By assuming tha...
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet, Zoubin Ghahraman
Issue Date:December 2008
pp. 2065-2066
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet, Zoubin Ghahramani
Issue Date:April 2008
pp. 561
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:August 2006
pp. 1185
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:June 2006
pp. 849
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:January 2006
pp. 1-2
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:November 2005
pp. 1685
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman, David Fleet
Issue Date:September 2005
pp. 1349-1350
No summary available.
 
Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Satya P. Mallick, Sameer Agarwal, David J. Kriegman, Serge J. Belongie, Bridget Carragher, Clinton S. Potter
Issue Date:June 2006
pp. 2253-2260
This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an image value is related to the integral of the scene density along a 3D line s...
 
Editorial-State of the Transactions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman,David Fleet,Zoubin Ghahramani
Issue Date:February 2008
pp. 193-194
No summary available.
 
Editorial
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman
Issue Date:January 2005
pp. 2-3
No summary available.
 
Structure and Motion from Line Segments in Multiple Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Camillo J. Taylor, David J. Kriegman
Issue Date:November 1995
pp. 1021-1032
<p><it>Abstract</it>—This paper presents a new method for recovering the three dimensional structure of a scene composed of straight line segments using the image data obtained from a moving camera. The recovery algorithm is formulated in...
 
Image-based Modeling and Rendering of Surfaces with Arbitrary BRDFs
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Melissa L. Koudelka, Peter N. Belhumeur, Sebastian Magda, David J. Kriegman
Issue Date:December 2001
pp. 568
A goal of image-based rendering is to synthesize as realistically as possible man made and natural objects. This paper presents a method for image-based modeling and rendering of objects with arbitrary (possibly anisotropic and spatially varying) BRDFs. An...
 
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Athinodoros S. Georghiades, Peter N. Belhumeur, David J. Kriegman
Issue Date:June 2001
pp. 643-660
<p><b>Abstract</b>—We present a generative appearance-based method for recognizing human faces under variation in lighting and viewpoint. Our method exploits the fact that the set of images of an object in fixed pose, but under all possib...
 
Color Subspaces as Photometric Invariants
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Todd Zickler, Satya P. Mallick, David J. Kriegman, Peter N. Belhumeur
Issue Date:June 2006
pp. 2000-2010
Complex reflectance phenomena such as specular reflections confound many vision problems since they produce image ?features? that do not correspond directly to intrinsic surface properties such as shape and spectral reflectance. A common approach to mitiga...
 
Robust Structure and Motion from Outlines of Smooth Curved Surfaces
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J. Kriegman
Issue Date:February 2006
pp. 302-315
This paper addresses the problem of estimating the motion of a camera as it observes the outline (or apparent contour) of a solid bounded by a smooth surface in successive image frames. In this context, the surface points that project onto the outline of a...
 
Binocular Helmholtz Stereopsis
Found in: Computer Vision, IEEE International Conference on
By Todd E. Zickler, Jeffrey Ho, David J. Kriegman, Jean Ponce, Peter N. Belhumeur
Issue Date:October 2003
pp. 1411
Helmholtz stereopsis has been introduced recently as a surface reconstruction technique that does not assume a model of surface reflectance. In the reported formulation, correspondence was established using a rank constraint, necessitating at least three v...
 
Toward a Stratification of Helmholtz Stereopsis
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Todd E. Zickler, Peter N. Belhumeur, David J. Kriegman
Issue Date:June 2003
pp. 548
Helmholtz stereopsis has been previously introduced as a surface reconstruction technique that does not assume a model of surface reflectance. This technique relies on the use of multiple cameras and light sources, and it has been shown to be effective whe...
 
Detecting Faces in Images: A Survey
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja
Issue Date:January 2002
pp. 34-58
<p>Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and expression recognition. However, many reported meth...
 
Introduction of New Associate Editor
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:May 2003
pp. 529
No summary available.
 
Synthetic Aperture Tracking: Tracking through Occlusions
Found in: Computer Vision, IEEE International Conference on
By Neel Joshi, Shai Avidan, Wojciech Matusik, David J. Kriegman
Issue Date:October 2007
pp. 1-8
Occlusion is a significant challenge for mnany tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extendednded occlusion when the object's trajectory may change significantly. We present a method ...
 
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Kuang-Chih Lee, Jeffrey Ho, David J. Kriegman
Issue Date:May 2005
pp. 684-698
Previous work has demonstrated that the image variation of many objects (human faces in particular) under variable lighting can be effectively modeled by low-dimensional linear spaces, even when there are multiple light sources and shadowing. Basis images ...
 
The Bas-Relief Ambiguity
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille
Issue Date:June 1997
pp. 1060
Since antiquity, artisans have created flattened forms, often called ``bas-reliefs,'' which give an exaggerated perception of depth when viewed from a particular vantage point. This paper presents an explanation of this phenomena, showing that the ambiguit...
 
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Peter N. Belhumeur, João P. Hespanha, David J. Kriegman
Issue Date:July 1997
pp. 711-720
<p><b>Abstract</b>—We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate i...
 
Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ping Tan, Satya P. Mallick, Long Quan, David J. Kriegman, Todd Zickler
Issue Date:June 2007
pp. 1-8
A set of images of a Lambertian surface under varying lighting directions defines its shape up to a three-parameter Generalized Bas-Relief (GBR) ambiguity. In this paper, we examine this ambiguity in the context of surfaces having an additive non-Lambertia...
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:May 2004
pp. 529
No summary available.
 
Introduction of New Associate Editor
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:April 2004
pp. 433
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:October 2003
pp. 1201
No summary available.
 
Introduction of New Associate Editor
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:August 2003
pp. 929
No summary available.
 
Introduction of New Associate Editor
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:October 2002
pp. 1297
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:August 2002
pp. 1009
No summary available.
 
A Planar Light Probe
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Neil G. Alldrin, David J. Kriegman
Issue Date:June 2006
pp. 2324-2330
We develop a novel technique for measuring lighting that exploits the interaction of light with a set of custom BRDFs. This enables the construction of a planar light probe with certain advantages over existing methods for measuring lighting. To facilitate...
 
Introduction of New Editor-in-Chief
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Kriegman
Issue Date:January 2009
pp. 1-2
No summary available.
 
Introduction of New Associate Editors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rama Chellappa, David J. Kriegman
Issue Date:February 2003
pp. 145-146
No summary available.
 
From Few to Many: Generative Models for Recognition Under Variable Pose and Illumination
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Athinodoros S. Georghiades, Peter N. Belhumeur, David J. Kriegman
Issue Date:March 2000
pp. 277
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-based approaches, require only a small set of training images to generate a ri...
 
Beyond Lambert: Reconstructing Specular Surfaces Using Color
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Satya P. Mallick, Todd E. Zickler, David J. Kriegman, Peter N. Belhumeur
Issue Date:June 2005
pp. 619-626
We present a photometric stereo method for non-diffuse materials that does not require an explicit reflectance model or reference object. By computing a data-dependent rotation of RGB color space, we show that the specular reflection effects can be separat...
 
Appearance-based Eye Gaze Estimation
Found in: Applications of Computer Vision, IEEE Workshop on
By Kar-Han Tan, David J Kriegman, Narendra Ahuja
Issue Date:December 2002
pp. 191
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking specific optical phenomena like corneal reflection and the Purkinje images. We em...
 
Illumination-Based Image Synthesis: Creating Novel Images of Human Faces Under Differing Pose and Lighting
Found in: Multi-View Modeling and Analysis of Visual Scenes, IEEE Workshop on
By Athinodoros S. Georghiades, Peter N. Belhumeur, David J. Kriegman
Issue Date:June 1999
pp. 47
We present an illumination-based method for synthesizing images of an object under novel viewing conditions. Our method requires as few as three images of the object taken under variable illumination, but from a fixed viewpoint. Unlike multi-view based ima...
 
Introduction to the Special Section on Real-World Face Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Gang Hua,Ming-Hsuan Yang,Erik Learned-Miller,Yi Ma,Matthew Turk,David J. Kriegman,Thomas S. Huang
Issue Date:October 2011
pp. 1921-1924
No summary available.
 
PSF estimation using sharp edge prediction
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Neel Joshi, Richard Szeliski, David J. Kriegman
Issue Date:June 2008
pp. 1-8
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a camera sensor, and limited sensor resolution. We present an algorithm that est...
 
Shape from Varying Illumination and Viewpoint
Found in: Computer Vision, IEEE International Conference on
By Neel Joshi, David J. Kriegman
Issue Date:October 2007
pp. 1-7
We address the problem of reconstructing the 3-D shape of a Lambertian surface from multiple images acquired as an object rotates under distant and possibly varying illumination. Using camera projection matrices estimated from point correspondences across ...
 
Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance : A Stratified Photometric Stereo Approach
Found in: Computer Vision, IEEE International Conference on
By Neil G. Alldrin, David J. Kriegman
Issue Date:October 2007
pp. 1-8
We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially varying isotropic bidirectional reflectance distribution function (BRDF), and introduce a novel, stratified photometric stereo method. By using a particular confi...
 
Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Neil G. Alldrin, Satya P. Mallick, David J. Kriegman
Issue Date:June 2007
pp. 1-7
It is well known in the photometric stereo literature that uncalibrated photometric stereo, where light source strength and direction are unknown, can recover the surface geometry of a Lambertian object up to a 3-parameter linear transform known as the gen...
 
Reflections on the Generalized Bas-Relief Ambiguity
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Manmohan Krishna Chandraker, Fredrik Kahl, David J. Kriegman
Issue Date:June 2005
pp. 788-795
Prior work has argued that when a Lambertian surface in fixed pose is observed in multiple images under varying distant illumination, there is an equivalence class of surfaces given by the generalized bas-relief (GBR) ambiguity that could have produced the...
 
Beyond Lambert: Reconstructing Surfaces with Arbitrary BRDFs
Found in: Computer Vision, IEEE International Conference on
By Sebastian Magda, David J. Kriegman, Todd Zickler, Peter N. Belhumeur
Issue Date:July 2001
pp. 391
We address an open and hitherto neglected problem in computer vision, how to reconstruct the geometry of objects with arbitrary and possibly anisotropic bidirectional reflectance distribution functions (BRDFs). Present reconstruction techniques, whether st...
 
Personal photo enhancement using prior images
Found in: ACM SIGGRAPH 2008 posters (SIGGRAPH '08)
By David J. Kriegman, Edward H. Adelson, Neel Joshi, Wojciech Matusik
Issue Date:August 2008
pp. 110-110
We describe a framework for improving the quality of personal photos by using a person's favorite photographs as examples. We use common faces across images to automatically perform both global and face specific corrections. Our system achieves this by usi...
     
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