Higher-Dimensional Segmentation by Minimum-cut Algorithm (2009)
It is important in many applications of 3D and higher dimensional segmentation that the resulting segments of voxels are not required to have only one connected component, as in some of extant...
Ishikawa & Geiger Mapping Image Restoration to a Graph Problem (2008)
We propose a graph optimization method for the restoration of gray-scale images. We consider an arbitrary noise model for each pixel location. We also consider a smooth constraint where the...
22 Local Feature Selection and Global Energy Optimization in Stereo (2008)
The human brain can fuse two slightly different views from left and right eyes and perceive depth. This process of stereopsis entails identifying matching locations in the two images and recovering...
David J. Bennett, Davi Geiger, John M. Hollerbach, David J. Bennett, Davi Geiger, John M. Hollerbach
Autonomous robot calibration is defined as the process of determining a robot’s model by using only its internal sensors. It is shown that autonomous calibration of a manipulator and stereo camera...
Tyng-luh Liu, Mike Donahue, Davi Geiger, Robert Hummel
Abstract. We study the problem of how to detect "interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an...
TARGET-DRIVEN PERCEPTUAL GROUPING (2007)
Ian Jermyn, David Jacobs, Davi Geiger
Abstract. We present an approach to the perceptual organization of closed contours into parts that integrates both bottom-up and top-down information into the grouping process. The top-down...
Tyng-luh Liu, Mike Donahue, Davi Geiger, Robert Hummel
Abstract. We study the problem of how to detect "interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an...
To my parents. vi Acknowledgments I would like to thank Professor Davi Geiger, my thesis advisor, for his continuous encouragement, support, and friendship. I would also like to thank Ian Jermyn, my...
Sparse Representations for Image Decompositions (1999)
Davi Geiger, Tyng-luh Liu, Michael J. Donahue
We are given an image I and a library of templates such that is an overcomplete basis for I . The templates can represent objects, faces, features, analytical functions, or be single pixel templates...
Sparse representations for image decompositions (1999)
Davi Geiger, Tyng-luh Liu, Michael J. Donahue
We are given an image I and a library of templates L, such that L is an overcomplete basis for I. The templates can represent objects, faces, features, analytical functions, or be single pixel...
Measuring Convexity for Figure/Ground Separation (1999)
Hsing-kuo Pao, Davi Geiger, Nava Rubin
In human perception, convex surfaces have a strong tendency to be perceived as the ”figure”. Convexity has a stronger influence on figural organization than other global shape properties, such as...
Stereo and Eye Movement. (1998)
This document describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye-movements essentially supply additional image-frames which can be used to...
An Optimal Scale for Edge Detection. (1998)
Many problems in early vision are ill posed. Edge detection is a typical example. This paper applies regularization techniques to the problem of edge detection. The authors derive an optimal filter...
Geiger, Davi, Girosi, Federico
In recent years many researchers have investigated the use of Markov random fields (MRFs) for computer vision. They can be applied for example in the output of the visual processes to reconstruct...
A Computational Laboratory for Automatic Target Recognition (1998)
Goldberg, Benjamin, Freudenthal, Eric, Geiger, Davi
We have built the NYU ATR Laboratory, also known as the RLAB, a computational laboratory for research and education in Automatic Target Recognition (ATR). The laboratory contains a cluster of...
Estimation with Best Bases (1998)
Mallat, Stephane, Geiger, Davi
New models of non-stationary processes have been introduced. We showed that the covariance of locally stationary processes can be modeled as pseudodifferential operators. The spectrum of such...
Segmenting by seeking the symmetry axis (1998)
Tyng-luh Liu, Davi Geiger, Alan L. Yuille
We introduce a method for segmenting a shape from an image and simultaneously determining its symmetry axis. The symmetry is used to help the segmentation and in turn the segmentation determines the...
Segmenting by Seeking the Symmetry Axis (1998)
Tyng-luh Liu, Davi Geiger, Alan L. Yuille
We introduce a method for segmenting a shape from an image and simultaneously determining its symmetry axis. The symmetry is used to help the segmentation and in turn the segmentation determines the...
Representation and Self-Similarity of Shapes (1998)
Tyng-luh Liu, Davi Geiger, Robert V. Kohn
Representing shapes is a significant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-similarities, and...
Representation and self-similarity of shapes (1998)
Tyng-luh Liu, Davi Geiger, Robert V. Kohn
Representing shapes is a signi cant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-similarities, and...
Salient and Multiple illusory surfaces (1998)
Davi Geiger, Hsingkuo Pao, Nava Rubin
All illusory surface figures yield a perception of a surface occluding another one or the background. Occluded surfaces yield completion, a phenomena known as amodal completions. It is intriguing...
Representation and self-similarity of shapes (1998)
Tyng-luh Liu, Davi Geiger, Robert V. Kohn
Representing shapes is a signi cant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-similarities, and...
Occlusions, discontinuities, and epipolar lines in stereo (1998)
Abstract. Binocular stereo is the process of obtaining depth information from a pair of left and right views of a scene. We present a new approach to compute the disparity map by solving a global...
Estimation with Best Bases (1997)
Mallat, Stephane, Geiger, Davi
New models of non-stationary processes have been introduced. We showed that the covariance of locally stationary processes can be modeled as pseudodifferential operators. The spectrum of such...
Visual Deconstruction: Recognizing Articulated Objects (1997)
. We propose a deconstruction framework to recognize and find articulated objects. In particular we are interested in human arm and leg articulations. The deconstruction view of recognition naturally...
Kona: A Multi-Junction Detector using Minimum Description Length Principle (1997)
Laxmi Parida Davi, Laxmi Parida, Davi Geiger, Robert Hummel
Corners, T-, Y-, X-junctions give vital depth cues which is a critical aspect of image "understanding": junctions form an important class of features invaluable in most vision systems. The...
A Model and Solution to the DNA flipping string problem (1996)
We consider the case where a pool of DNA molecules clones both, flipped and not-flipped, have been cut by restriction enzymes. Ideally, each clone is cut in the same positions, although in practice...
Sparse Representations for Image Decomposition with Occlusions (1996)
Mike Donahue Davi, Mike Donahue, Davi Geiger, Robert Hummel, Tyng-luh Liu
We study the problem of how to detect "interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-redundant basis,...
Image Recognition with Occlusions (1996)
Tyng-luh Liu, Mike Donahue, Davi Geiger, Robert Hummel
Abstract. We study the problem of how to detect \interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-redundant...
Sparse Representations for Image Decomposition with Occlusions (1996)
Mike Donahue, Davi Geiger, Robert Hummel, Tyng-luh Liu
We study the problem of how to detect "interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-redundant basis,...
Image Recognition with Occlusions (1996)
Tyng-luh Liu, Mike Donahue, Davi Geiger, Robert Hummel
. We study the problem of how to detect "interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-redundant basis....
Determining the Similarity of Deformable Shapes (1995)
Ronen Basri, Luiz Costa, Davi Geiger, David Jacobs
We study how to measure the degree of similarity between two image contours. We propose an approach for comparing contours that takes into account deformations in object shape, the articulation of...
Determining the Similarity of Deformable Shapes (1995)
Ronen Basri, Luiz Costa, Davi Geiger, David Jacobs
Determining the similarity of two shapes is a significant task in both machine and human vision systems that must recognize or classify objects. The exact properties of human shape similarity...
Determining the Similarity of Deformable Shapes (1995)
Ronen Basri, Luiz Costa, Davi Geiger, David Jacobs
We study how to measure the degree of similarity between two image contours. We propose an approach for comparing contours that takes into account deformations in object shape, the articulation of...
Un algorithme multi-echelle de mise en correspondance stéréo basé sur les champs markoviens (1991)
CHAMBOLLE, Antonin, GEIGER, Davi, MALLAT, Stéphane
Nous présentons un algorithme de mise en correspondance stéréo par une méthode basée sur les champs de Markov, qui intègre la phase d'interpolation de la disparité et de détection de ses...
Stereo Integration, Mean Field Theory and Psychophysics (1991)
Alan L. Yuille, Davi Geiger, Heinrich H. Bülthoff
We describe a theoretical formulation for stereo in terms of the Bayesian approach to vision. This formulation enables us to integrate the depth information from different types of matching...
Image segmentation using 4 direction line-processes (1990)
Zerubia, Josiane, Geiger, Davi
Disponible dans les fichiers attachés à ce document
Image segmentation using 4 direction line-processes (1990)
Zerubia, Josiane, Geiger, Davi
Disponible dans les fichiers attachés à ce document
Parallel and Deterministic Algorithms for MRFs: Surface Reconstruction and Integration (1989)
Geiger, Davi, Girosi, Federico
In recent years many researchers have investigated the use of Markov random fields (MRFs) for computer vision. The computational complexity of the implementation has been a drawback of MRFs. In this...
Parallel and Deterministic Algorithms for MRFs: Surface Reconstruction and Integration (1989)
Geiger, Davi, Girosi, Federico
In recent years many researchers have investigated the use of Markov random fields (MRFs) for computer vision. The computational complexity of the implementation has been a drawback of MRFs. In this...
An Optimal Scale for Edge Detection (1988)
Many problems in early vision are ill posed. Edge detection is a typical example. This paper applies regularization techniques to the problem of edge detection. We derive an optimal filter for edge...
An Optimal Scale for Edge Detection (1988)
Many problems in early vision are ill posed. Edge detection is a typical example. This paper applies regularization techniques to the problem of edge detection. We derive an optimal filter for edge...
Stereo and Eye Movement (1988)
We describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye movements essentially supply additional image frames which can be used to constrain the...
Stereo and Eye Movement (1988)
We describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye movements essentially supply additional image frames which can be used to constrain the...
An optimal scale for edge detection (1987)
Many problems in ea.rly vision are ill posed. Edge detection is a, typical example. This paper applies regularization techniques to the problem of edge detection. We derive a.n optimal filter for...
Junctions: Detection, Classification and Reconstruction
Laxmi Parida, Davi Geiger, Robert Hummel
Junctions are important features for image analysis and form a critical aspect of image understanding tasks such as object recognition. We present a unified approach to detecting (location of the...