GPU based parallel optimization for real time panoramic video stitching
نویسندگان
چکیده
منابع مشابه
Real-time Stereo-Image Stitching using GPU-based Belief Propagation
Image stitching or mosaicing is a challenging vision problem, especially when considering aspects like high definition content, real-time, and proper compensation of the parallax error of objects at different distances to the camera system. Today many approaches to image stitching exist, most of them deal with medium resolution images, offline processing, or are restricted to objects at similar...
متن کاملGPU Parallel Programming for Real-time Stereoscopic Video Generation
In this paper, we propose a fast depth image based rendering method to generate a virtual view image in real-time using a graphic processor unit (GPU) for a 3D broadcasting system. Simple and efficient hole filling method is performed to reduce complexity and prevent hole filling error. Also, we designed a vertical parallel structure for a forward mapping process to take advantage of the single...
متن کاملGPU-Based Parallel Collision Detection for Real-Time Motion Planning
We present parallel algorithms to accelerate collision queries for samplebased motion planning. Our approach is designed for current many-core GPUs and exploits the data-parallelism and multi-threaded capabilities. In order to take advantage of high number of cores, we present a clustering scheme and collision-packet traversal to perform efficient collision queries on multiple configurations si...
متن کاملHigh-resolution 360 Video Foveated Stitching for Real-time VR
In virtual reality (VR) applications, the contents are usually generated by creating a 360◦video panorama of a real-world scene. Although many capture devices are being released, getting high-resolution panoramas and displaying a virtual world in realtime remains challenging due to its computationally demanding nature. In this paper, we propose a real-time 360◦video foveated stitching framework...
متن کاملReal-Time Tracking of Video Sequences in a Panoramic View for Object-Based Video Coding
We present a real-time tracking system that uses a panoramic view of the scene as a reference. This view is captured with a specialized camera we developed. The tracking is robust, as it is not fooled by small objects that move differently from the background. Therefore, we can segment those objects, and code the different video object planes separately.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2020
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2019.06.018