Method for modeling high-speed moving object adopting ring shaped low frame rate camera array

Abstract

The invention relates to a method adopting a ring type low frame rate camera array to catch a high-speed moving object and model, belonging to the technical field of a computer multimedia. The method includes that: the ring type camera array is divided into groups in a uniform spacing; each group of cameras acquires the moving object in a ring type field; an acquisition time difference between the adjacent groups of cameras is 1 / (fm) second; by utilizing a bi-directional optical flow prediction method, a (group count-1) frame is interpolated out between the adjacent two frames of a sequence shot by each camera; a contour constraint is added to a result of the interpolation to improve the result of the interpolation; at each moment, a visual shell model is established and rendered by using an image of each visual angle and the interpolation image. The method which adopts the ring type low frame rate camera array to catch the high-speed moving object and model is capable of using the low frame rate camera to realize the catching of the high-speed movement and the modeling of a three-dimensional dynamic scene.

Description

technical field [0001] The invention belongs to the technical field of computer multimedia, in particular to a technology for capturing and modeling high-speed moving objects by using a low frame rate camera. Background technique [0002] At present, a lot of research work on 3D reconstruction of static and dynamic scenes is being carried out in the field of computer graphics and vision, and it has broad application prospects in the fields of free viewpoint video, virtual reality, video conferencing, movie entertainment, stereoscopic video and motion analysis. When an image-based method is used to generate a 3D model of an object, the contour line of the object projected on the image plane is an important clue to understand the geometric shape of the object and reconstruct the 3D model. Laurentini (A. Laurentini. The Visual Hull: Concept for Silhouette Based Image Understanding. IEEE PAMI 1994.16 (2). 150-162.) first proposed the concept of the visual hull. The spatial enve...

AI Technical Summary

Problems solved by technology

[0012] However, the synchronization of cameras, especially the synchronization of shooting video sequences, is difficult to ensure accurate synchronization (subtle level)

And when the frame rate of the camera is low, it is impossible to capture and model high-speed motion

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