森林的实时渲染及光照是视景系统中的一个难题.基于图像的渲染方法(IBR)由于渲染速度与模型复杂度无关,被广泛应用于场景重建.基于光流场(Light Field Rendering)的IBR技术,提出一种迭代投射算法来进行外形重建,实现了具有实时光影特征...森林的实时渲染及光照是视景系统中的一个难题.基于图像的渲染方法(IBR)由于渲染速度与模型复杂度无关,被广泛应用于场景重建.基于光流场(Light Field Rendering)的IBR技术,提出一种迭代投射算法来进行外形重建,实现了具有实时光影特征的森林效果.实验表明该算法结合了传统迭代、投射算法各自的优点,在质量和效率方面取得了平衡.展开更多
Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences(thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, w...Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences(thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance information such as consecutive images, we use two well-known approaches: structure from motion and light field rendering. Results using real image sequences show that our method can stably segment fences and preserve background details for various fence and background combinations. A new video without the fence, with frame coherence, can be successfully provided.展开更多
Light field rendering is an image-based rendering method that does not use 3 D models but only images of the scene as input to render new views.Light field approximation,represented as a set of images,suffers from so-...Light field rendering is an image-based rendering method that does not use 3 D models but only images of the scene as input to render new views.Light field approximation,represented as a set of images,suffers from so-called refocusing artifacts due to different depth values of the pixels in the scene.Without information about depths in the scene,proper focusing of the light field scene is limited to a single focusing distance.The correct focusing method is addressed in this work and a real-time solution is proposed for focusing of light field scenes,based on statistical analysis of the pixel values contributing to the final image.Unlike existing techniques,this method does not need precomputed or acquired depth information.Memory requirements and streaming bandwidth are reduced and real-time rendering is possible even for high resolution light field data,yielding visually satisfactory results.Experimental evaluation of the proposed method,implemented on a GPU,is presented in this paper.展开更多
文摘森林的实时渲染及光照是视景系统中的一个难题.基于图像的渲染方法(IBR)由于渲染速度与模型复杂度无关,被广泛应用于场景重建.基于光流场(Light Field Rendering)的IBR技术,提出一种迭代投射算法来进行外形重建,实现了具有实时光影特征的森林效果.实验表明该算法结合了传统迭代、投射算法各自的优点,在质量和效率方面取得了平衡.
基金supported in part by Grant-in-Aid from the Japan Society for the Promotion of Science, following Grant No. 16J05114
文摘Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences(thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance information such as consecutive images, we use two well-known approaches: structure from motion and light field rendering. Results using real image sequences show that our method can stably segment fences and preserve background details for various fence and background combinations. A new video without the fence, with frame coherence, can be successfully provided.
基金supported by The Ministry of Education,Youth and Sports from the National Programme of Sustainability(NPU II)project IT4Innovations excellence in science,LQ1602。
文摘Light field rendering is an image-based rendering method that does not use 3 D models but only images of the scene as input to render new views.Light field approximation,represented as a set of images,suffers from so-called refocusing artifacts due to different depth values of the pixels in the scene.Without information about depths in the scene,proper focusing of the light field scene is limited to a single focusing distance.The correct focusing method is addressed in this work and a real-time solution is proposed for focusing of light field scenes,based on statistical analysis of the pixel values contributing to the final image.Unlike existing techniques,this method does not need precomputed or acquired depth information.Memory requirements and streaming bandwidth are reduced and real-time rendering is possible even for high resolution light field data,yielding visually satisfactory results.Experimental evaluation of the proposed method,implemented on a GPU,is presented in this paper.
