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An Iterative Image Registration Technique with an Application to Stereo Vision
Image registration finds a variety of applications in computer vision. Unfortunately, traditional image registration techniques tend to be costly. We present a new image registration technique thatExpand
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The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting research into automatically detecting individual facial expressions. Since then, the CK database has become one of theExpand
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Shape and motion from image streams under orthography: a factorization method
Inferring scene geometry and camera motion from a stream of images is possible in principle, but is an ill-conditioned problem when the objects are distant with respect to their size. We haveExpand
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Multi-PIE
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a controlled manner. The CMUExpand
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Convolutional Pose Machines
Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be incorporated into theExpand
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Comprehensive database for facial expression analysis
Within the past decade, significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets, the generalizability ofExpand
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Neural Network-Based Face Detection
We present a neural network-based upright frontal face detection system. A retinally connected neural network examines small windows of an image and decides whether each window contains a face. TheExpand
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Detection and Tracking of Point Features
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Limits on super-resolution and how to break them
  • S. Baker, T. Kanade
  • Computer Science
  • Proceedings IEEE Conference on Computer Vision…
  • 13 June 2000
We analyze the super-resolution reconstruction constraints. In particular we derive a sequence of results which all show that the constraints provide far less useful information as the magnificationExpand
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A statistical method for 3D object detection applied to faces and cars
In this paper, we describe a statistical method for 3D object detection. We represent the statistics of both object appearance and "non-object" appearance using a product of histograms. EachExpand
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