Evaluating Guided KLT Tracking for Next Best View Planning in 3D Reconstruction
نویسندگان
چکیده
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 structure-from-motion approaches with passive illumination, a controlled planning setup for 3d reconstruction provides additional knowledge about sensor parameters and may adjust sensor parameters in an active manner. The adjustment of sensor parameters refers to the set of planning goals.
منابع مشابه
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 کاملCovariance 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 کاملGuided Capturing of Multi-view Stereo Datasets
We present an application for mobile devices, that allows any user, even without background in computer vision, to capture a complete set of images, that is suitable for a multi-view stereo reconstruction. Compared to related tasks, such as panorama capture, this setting is much harder, as the camera needs to move unrestricted in 3D space. Our system uses structure from motion to register captu...
متن کاملKLT Tracking Using Intrinsic and Extrinsic Camera Parameters in Consideration of Uncertainty
Feature tracking is an important task in computer vision, especially for 3D reconstruction applications. Such procedures can be run in environments with a controlled sensor, e.g. a robot arm with camera. This yields the camera parameters as special knowledge that should be used during all steps of the application to improve the results. As a first step, KLT (Kanade-Lucas-Tomasi) tracking (and i...
متن کاملAn Adaptive Hierarchical Next-Best-View Algorithm for 3D Reconstruction of Indoor Scenes
We present a new and efficient next-best-view algorithm for 3D reconstruction of indoor scenes using active range sensing. To evaluate each view, we have formulated a general view metric that can include many real-world acquisition constraints and quality requirements on the resulting 3D model. We overcome the computation difficulty of evaluating this function by using an adaptive hierarchical ...
متن کاملذخیره 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 2009