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Publications associées (33)

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Light Field Compressive Sensing in Camera Arrays

Pierre Vandergheynst, Mohammad Golbabaee, Mahdad Hosseini Kamal

This paper presents a novel approach to capture light field in camera arrays based on the compressive sensing framework. Light fields are captured by a linear array of cameras with overlapping field of view. In this work, we design a redundant dictionary t ...

Ieee2012

Stereoscopic High Dynamic Range Video

Dominic Rüfenacht

Stereoscopic video content is usually being created by using two or more cameras which are recording the same scene. Traditionally, those cameras have the exact same intrinsic camera parameters. In this project, the exposure times of the cameras differ, al ...

2011

Learning Pose Invariant and Covariant Classifiers from Image Sequences

Mustafa Özuysal

Object tracking and detection over a wide range of viewpoints is a long-standing problem in Computer Vision. Despite significant advance in wide-baseline sparse interest point matching and development of robust dense feature models, it remains a largely op ...

EPFL2010

Joint Pose Estimator and Feature Learning for Object Detection

Pascal Fua, François Fleuret, Karim Ali, David Hasler

A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform ba ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Probabilistic Head Pose Tracking Evaluation in Single and Multiple Camera Setups

Jean-Marc Odobez, Silèye Oumar Ba

This paper presents our participation in the CLEAR 07 evaluation workshop head pose estimation tasks where two head pose estimation tasks were to be addressed. The first task estimates head poses with respect to (w.r.t.) a single camera capturing people se ...

2007

Probabilistic Head Pose Tracking Evaluation in Single and Multiple Camera Setups

Jean-Marc Odobez, Silèye Oumar Ba

IDIAP2007

Development of a robotic mobile mapping system by vision-aided inertial navigation

Fadi Atef Bayoud

Vision-based inertial-aided navigation is gaining ground due to its many potential applications. In previous decades, the integration of vision and inertial sensors was monopolised by the defence industry due to its complexity and unrealistic economic burd ...

EPFL2006

Implicit meshes

Slobodan Ilic

This thesis proposes novel ways both to represent the static surfaces, and to parameterize their deformations. This can be used both by automated algorithms for efficient 3–D shape reconstruction, and by graphics designers for editing and animation. Deform ...

EPFL2005

Using biomechanical constraints to improve video-based motion capture

Lorna Herda

In motion capture applications whose aim is to recover human body postures from various input, the high dimensionality of the problem makes it desirable to reduce the size of the search-space by eliminating a priori impossible configurations. This can be c ...

EPFL2004

From synthesis to analysis: fitting human animation models to image data

Daniel Thalmann, Pascal Fua, Ralf Plänkers

We show that we can effectively fit complex animation models to noisy image data. Our approach is based on robust least squares adjustment and takes advantage of three complementary sources of information: stereo data, silhouette edges and 2D feature point ...

IEEE Computer Soc. Press1999