Concept

RANSAC

Publications associées (50)

Compressed look-up-table based real-time rectification hardware

Alexandre Schmid, Yusuf Leblebici, Abdulkadir Akin, Ipek Baz, Luis Manuel Gaemperle

Stereo image rectification is a pre-processing step of disparity estimation intended to remove image distortions and to enable stereo matching along an epipolar line. A real-time disparity estimation system needs to perform real-time rectification which re ...

2013

RANSAC-based Enhancement in Drug Concentration Prediction Using Support Vector Machine

Giovanni De Micheli, Alena Simalatsar, Wenqi You Dubout

Training Support Vector Machines (SVMs) to predict drugs concentrations is often difficult because of the high level of noise in the training data, due to various kinds of measurement errors. We apply RANdom SAmple Consensus (RANSAC) algorithm in this pape ...

2012

3-D Head Tracking via Invariant Keypoint Learning

Haoqi Wang, Vincent Lepetit

Keypoint matching is a standard tool to solve the correspondence problem in vision applications. However, in 3-D face tracking, this approach is often deficient because the human face complexities, together with its rich viewpoint, nonrigid expression, and ...

Ieee-Inst Electrical Electronics Engineers Inc2012

Fault Detection and Isolation in Multiple MEMS-IMUs Configurations

Jan Skaloud, Stéphane Guerrier

This research presents methods for detecting and isolating faults in multiple micro-electro-mechanical system inertial measurement unit (MEMS-IMU) configurations. First, geometric configurations with n sensor triads are investigated. It is proved that the ...

Institute of Electrical and Electronics Engineers2012

Putting the user into the active learning loop: towards realistic but efficient photointerpretation

Devis Tuia

In recent years, several studies have been published about the smart definition of training set using active learning algorithms. However, none of these works consider the contradiction between the active learning methods, which rank the pixels according t ...

Ieee2012

Tasting Families of Features for Image Classification

François Fleuret, Charles Dubout

Using multiple families of image features is a very efficient strategy to improve performance in object detection or recognition. However, such a strategy induces multiple challenges for machine learning methods, both from a computational and a statistical ...

2011

Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking

Michel Bierlaire, Jean-Philippe Thiran, Javier Cruz Mota

In this paper we introduce the Incremental Temporally Weighted Principal Component Analysis (ITWPCA) algorithm, based on SVD update, and the Incremental Temporally Weighted Visual Tracking with Spatial Penalty (ITWVTSP) algorithm for robust visual tracking ...

2011

Estimating Ego-Motion in Panoramic Image Sequences with Inertial Measurements

Felix Stephan Schill

This paper considers the problem of estimating the focus of expansion of optical flow fields from panoramic image sequences due to ego-motion of the camera. The focus of expansion provides a measurement of the direction of motion of the vehicle that is a k ...

Springer Berlin Heidelberg2011

3D Objects Localization Using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Jacques Jacot, Alain Dufaux

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed ...

Hindawi Publishing Corporation2011

Online loop closure for real-time interactive 3D scanning

We present a real-time interactive 3D scanning system that allows users to scan complete object geometry by turning the object around in front of a real-time 3D range scanner. The incoming 3D surface patches are registered and integrated into an online 3D ...

Elsevier2011

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