Publication

Learning Pose Invariant and Covariant Classifiers from Image Sequences

Related publications (247)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Multiple 3D Object Tracking for Augmented Reality

Vincent Lepetit

We present a method that is able to track several 3D objects si- multaneously, robustly, and accurately in real-time. While many applications need to consider more than one object in practice, the existing methods for single object tracking do not scale we ...

2008

Object Category Detection using Audio-visual Cues

Barbara Caputo, Jie Luo

Categorization is one of the fundamental building blocks of cognitive systems. Object categorization has traditionally been addressed in the vision domain, even though cognitive agents are intrinsically multimodal. Indeed, biological systems combine severa ...

2008

Augmented reality for non-rigid surfaces

Julien Pilet

Augmented Reality (AR) is the process of integrating virtual elements in reality, often by mixing computer graphics into a live video stream of a real scene. It requires registration of the target object with respect to the cameras. To this end, some appro ...

EPFL2008

Fast multi-view face tracking with pose estimation

Jean-Philippe Thiran, Javier Cruz Mota, Julien Meynet

In this paper, a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classiﬁers built using either Haar-like ﬁlters or Gauss ﬁlters. A ﬁrst classiﬁer extra ...

2008

Fast multi-view face tracking with pose estimation

Jean-Philippe Thiran, Javier Cruz Mota, Julien Meynet

In this paper, a fast and effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose, we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier ex ...

2008

A Virtual Keyboard System based on Multi-Level Feature Matching

Edoardo Charbon, Huan Du

In this paper a Multi-Level Feature Matching (MLFM) method is presented for 3D hand posture reconstruction of a virtual keyboard system. The human hand is modeled with a mixture of different levels of detail, from skeletal to polygonal surface representati ...

2008

A Virtual Keyboard System Based on Multi-Level Feature Matching

Edoardo Charbon, Huan Du

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Face Detection Using Discrete Gabor Jets And Color Information

Touradj Ebrahimi, Ashkan Yazdani, Ulrich Hoffmann

Face detection allows to recognize and detect human faces and provides information about their location in a given image. Many applications such as biometrics, face recognition, and video surveillance employ face detection as one of their main modules. The ...

2008

Face Detection Using Discrete Gabor Jets and a Probabilistic Model of Colored Image Patches

Touradj Ebrahimi, Ashkan Yazdani, Ulrich Hoffmann

Springer-Verlag2008

Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. ...

2008