Camera calibration and geo-location estimation from two shadow trajectories

نویسندگان

  • Lin Wu
  • Xiaochun Cao
  • Hassan Foroosh
چکیده

1077-3142/$ see front matter 2010 Elsevier Inc. A doi:10.1016/j.cviu.2010.04.003 * Corresponding author. E-mail address: [email protected] (L. Wu The position of a world point’s solar shadow depends on its geographical location, the geometrical relationship between the orientation of the sunshine and the ground plane where the shadow casts. This paper investigates the property of solar shadow trajectories on a planar surface and shows that camera parameters, latitude, longitude and shadow casting objects’ relative height ratios can be estimated from two observed shadow trajectories. One contribution is to recover the horizon line and metric rectification matrix from four observations of two shadow tips. The other contribution is that we use the design of an analemmatic sundial to get the shadow conic and furthermore recover the camera’s geographical location. The proposed method does not require the shadow casting objects or a vertical object to be visible in the recovery of camera calibration. This approach is thoroughly validated on both synthetic and real data, and tested against various sources of errors including noise, number of observations, objects locations, and camera orientations. We also present applications to image-based metrology. 2010 Elsevier Inc. All rights reserved.

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

Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories

Using only shadow trajectories of stationary objects in a scene, we demonstrate that using a set of six or more photographs are sufficient to accurately calibrate the camera. Moreover, we present a novel application where, using only three points from the shadow trajectory of the objects, one can accurately determine the geo-location of the camera, up to a longitude ambiguity, and also the date...

متن کامل

Camera Calibration and Relative Pose Estimation from Gravity

We examine the potential use of gravity for camera calibration and pose estimation purposes. Concretely , objects being launched or dropped follow tra-jectories dictated by the law of gravity. We examine if video sequences of such trajectories give us exploitable constraints for estimating the imaging geometry. It is shown that it is possible to estimate the innnite homog-raphy and the epipolar...

متن کامل

Evaluation of Remote Sensing Aerial Systems in Existing Transportation Practices

A low-cost aerial platform represents a flexible tool for acquiring high-resolution images for ground areas of interest. The geo-referencing of objects within these images could benefit civil engineers in a variety of research areas including, but not limited to, work zone management, traffic congestion, safety, and environmental impact studies. During the Phase II effort, a Remotely Controlled...

متن کامل

Multi-View Calibration from Planar Motion for Video Surveillance

We present a technique for the registration of multiple surveillance cameras through the automatic alignment of image trajectories. The algorithm address the problem of recovering the relative pose of several stationary cameras that observe one or more objects in motion. Each camera tracks several objects to produce a set of trajectories in the image. Using a simple calibration procedure, we re...

متن کامل

Full 6DOF Pose Estimation from Geo-Located Images

Estimating the external calibration – the pose – of a camera with respect to its environment is a fundamental task in Computer Vision (CV). In this paper, we propose a novel method for estimating the unknown 6DOF pose of a camera with known intrinsic parameters from epipolar geometry only. For a set of geo-located reference images, we assume the camera position but not the orientation to be kno...

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:
  • Computer Vision and Image Understanding

دوره 114  شماره 

صفحات  -

تاریخ انتشار 2010