Estimation of an Unknown Projection from a Map and its Applications

نویسنده

  • Tomas Bayer
چکیده

This paper presents new methods for the detection of an unknown map projection and its parameters from a map. Corresponding 0D2D elements both on the analyzed map and a sphere (or a reference map) represent the source matter for the analysis. The following cartographic parameters (i.e., constants of a projection P) are estimated: R, k, k, 0, 0, Δx, Δy. Our solution minimizes L2 norm of residuals and allows for the exclusion of incorrectly drawn elements from analysis. Both on-line and offline methods of the detection are supported. Results are presented for early maps from the Map Collection of the Charles University and David Rumsay Map Collection. All algorithms were implemented in new detectproj SW, which supports more than 50 map projections and several operating systems.

برای دانلود رایگان 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

Enhancement of Learning Based Image Matting Method with Different Background/Foreground Weights

The problem of accurate foreground estimation in images is called Image Matting. In image matting methods, a map is used as learning data, which is produced by those pixels that are definitely foreground, definitely background ,and unknown. This three-level pixel map is often referred to as a trimap, which is produced manually in alpha matte datasets. The true class of unknown pixels will be es...

متن کامل

Understanding the semantic principles of a political map

The attempt to recognize phenomena and affairs has always been a concern of the human mind and has constantly sought to complete this knowledge. The correct recognition is also achieved when the real nature of phenomena is clear to man. The phenomena are based on their own philosophical foundations and, therefore, their understanding requires perception these philosophical foundations and using...

متن کامل

The Time Adaptive Self Organizing Map for Distribution Estimation

The feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors come. But the timedecreasing learning rate and neighborhood function of the basic SOM algorithm reduce its capability to adapt weights for a varied environment. In dealing with non-stationary input distributions and changi...

متن کامل

Camera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images

In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...

متن کامل

Beta-Linear Failure Rate Distribution and its Applications

We introduce in this paper a new four-parameter generalized version of the linear failure rate distribution which is called Beta-linear failure rate distribution. The new distribution is quite flexible and can be used effectively in modeling survival data and reliability problems. It can have a constant, decreasing, increasing and bathtub-shaped failure rate function depending on its parameter...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013