Real-time depth map generation using hybrid multi-view cameras

Yunseok Song, Dong-Won Shin, Eunsang Ko, Yo-Sung Ho
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引用次数: 2

Abstract

In this paper, we present a hybrid multi-view camera system for real-time depth generation. We set up eight color cameras and three depth cameras. For simple test scenarios, we capture a single object at a blue-screen studio. The objective is depth map generation at eight color viewpoints. Due to hardware limitations, depth cameras produce low resolution images, i.e., 176×144. Thus, we warp the depth data to the color cameras views (1280×720) and then execute filtering. Joint bilateral filtering (JBF) is used to exploit range and spatial weights, considering color data as well. Simulation results exhibit depth generation of 13 frames per second (fps) when treating eight images as a single frame. When the proposed method is executed on a computer per depth camera basis, the speed can become three times faster. Thus, we have successfully achieved real-time depth generation using a hybrid multi-view camera system.
实时深度图生成使用混合多视图相机
本文提出了一种用于实时深度生成的混合多视点相机系统。我们设置了8台彩色摄像机和3台深度摄像机。对于简单的测试场景,我们在蓝屏工作室捕获单个对象。目标是在八个颜色视点生成深度图。由于硬件限制,深度相机产生低分辨率图像,即176×144。因此,我们将深度数据扭曲到彩色摄像机视图(1280×720),然后执行过滤。联合双边滤波(JBF)利用距离和空间权重,同时考虑颜色数据。仿真结果显示,当将8张图像作为一帧处理时,深度生成速度为每秒13帧(fps)。当所提出的方法在每个深度相机的基础上在计算机上执行时,速度可以提高三倍。因此,我们已经成功地实现了实时深度生成使用混合多视图相机系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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