Benchmarking 3D Reconstructions from Next Best View Planning

نویسندگان

  • Christoph Munkelt
  • Michael Trummer
  • Joachim Denzler
  • Stefan Wenhardt
چکیده

The problem of planning the Next Best View (NBV) still poses many questions. However, the achieved methods and algorithms are hard to compare, since researchers use their own test objects for planning and reconstruction and compute specific quality measures. Consequently, these numbers make different statements about different objects. Thus, the quality of the results and the performance of the methods are not easily comparable. In order to mend this lack of measure and comparability, this paper suggests a test object together with a reference benchmark. These allow comparison of reconstruction results from different NBV algorithms achieved with different techniques and various kinds of sensors.

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

Evaluating Guided KLT Tracking for Next Best View Planning in 3D Reconstruction

This report considers the task of 3d reconstruction within a Next Best View (NBV) planning approach. Particular attention is given to the possibilities of extending the well-known Kanade-Lucas-Tomasi (KLT) tracker [1] for the application within a controlled planning framework. The benefit of the tracker’s extensions to the planning procedure is evaluated quantitatively. In relation to general s...

متن کامل

Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors

Most 3D reconstruction approaches passively optimise over all data, exhaustively matching pairs, rather than actively selecting data to process. This is costly both in terms of time and computer resources, and quickly becomes intractable for large datasets. This work proposes an approach to intelligently filter large amounts of data for 3D reconstructions of unknown scenes using monocular camer...

متن کامل

Covariance Propagation and Next Best View Planning for 3D Reconstruction

This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the ...

متن کامل

Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning

Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking in rigid scenes. By this means, feature tracking can benefit from additional knowledge about camera parameters as given by a controlled environment within a next-best-view (NBV) planning approach for three-dimensional (3D) rec...

متن کامل

Incorporation of A-priori Information in Planning the next Best View

The widespread use of optical 3D measurement in inspection and prototyping continues to demand improved strategies for planning the next best view (NBV). During the scanning process, better viewpoints can be chosen and fewer views need to be taken, if a NBV algorithm is able to use available a-priori information about an object to-be-scanned. The proposed extension to a voxel space based NBV al...

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 2007