Extrinsic Camera Parameter Recovery from Multiple Image Sequences Captured by an Omni-Directional Multi-camera System

نویسندگان

  • Tomokazu Sato
  • Sei Ikeda
  • Naokazu Yokoya
چکیده

Recently, many types of omni-directional cameras have been developed and attracted much attention in a number of different fields. Especially, the multi-camera type of omni-directional camera has advantages of high-resolution and almost uniform resolution for any direction of view. In this paper, an extrinsic camera parameter recovery method for a moving omni-directional multi-camera system (OMS) is proposed. First, we discuss a perspective n-point (PnP) problem for an OMS, and then describe a practical method for estimating extrinsic camera parameters from multiple image sequences obtained by an OMS. The proposed method is based on using the shape-from-motion and the PnP techniques.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Novel View Telepresence with High-Scalability Using Multi-Casted Omni-Directional Videos

The advent of high-speed network and high performance PCs has prompted research on networked telepresence, which allows a user to see virtualized real scenes in remote places. View-dependent representation, which provides a user with arbitrary view images using an HMD or an immersive display, is especially effective in creating a rich telepresence. The goal of our work is to realize a networked...

متن کامل

Omni-directional Multi-baseline Stereo without Similarity Measures

This paper proposes a novel method for estimating depth from long image sequences captured by pre-calibrated moving omni-directional multi-camera system (OMS). Our idea for estimating an omni-directional depth map is very simple; only counting interest points in images is integrated with the framework of conventional multi-baseline stereo. Even by a simple algorithm, depth can be determined wit...

متن کامل

Omni-directional Multi-baseline Stereo without Similarity Measures

This paper proposes a novel method for estimating depth from long-baseline image sequences captured by a precalibrated moving omni-directional multi-camera system (OMS). Our idea for estimating an omni-directional depth map is very simple; only counting interest points in images is integrated with the framework of conventional multibaseline stereo. Even by a simple algorithm, depth can be deter...

متن کامل

Toward a Comparative Study of Lane Tracking using Omni-directional and Rectilinear Images for Driver Assistance Systems

With a panoramic view of the scene, a single omnidirectional camera can monitor the interior and exterior of the vehicle simultaneously. Omni-directional cameras have been shown to produce useful data for determining head gaze orientation from within a vehicle. We examine the issues involved in integrating lane-tracking functions using the same omni-directional camera. We present analysis on th...

متن کامل

Camera Calibration for a Robust Omni-directional Photogrammetry System

Immersive Media’s Telemmersion® system is a multi-view imaging system that captures high-resolution full-motion 360o omni-directional images from synchronized cameras arranged in a dodecahedron. This paper describes transformation of the resultant imagery from aesthetically pleasing blended mosaics to mathematically rigorous projections through camera calibration. Specifically, we describe our ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004