Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)最新文献

Range-space approach for generalized multiple baseline stereo and direct virtual view synthesis 广义多基线立体与直接虚拟视图合成的距离空间方法

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988764

K. Ng, M. Trivedi, H. Ishiguro

引用次数: 3

Mosaic-based panoramic depth imaging with a single standard camera 基于马赛克的全景深度成像与一个单一的标准相机

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988765

Peter Peer, F. Solina

{"title":"Mosaic-based panoramic depth imaging with a single standard camera","authors":"Peter Peer, F. Solina","doi":"10.1109/SMBV.2001.988765","DOIUrl":"https://doi.org/10.1109/SMBV.2001.988765","url":null,"abstract":"In this article we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a, setoff of the camera's optical center from the rotational center of the system we are able to capture the motion parallax effect which enables the stereo reconstruction. The camera is rotating on a circular path with the step defined by an angle, equivalent to one column of the captured image. The equation for depth estimation can be easily extracted from system geometry. To find the corresponding points on a stereo pair of panoramic images the epipolar geometry needs to be determined. It can be shown that the epipolar geometry is very simple if we are doing the reconstruction based on a symmetric pair of stereo panoramic images. We get a symmetric pair of stereo panoramic images when we take symmetric columns on the left and on the right side from the captured image center column. Epipolar lines of the symmetrical pair of panoramic images are image rows. We focused mainly on the system analysis. Results of the stereo reconstruction procedure and quality evaluation of generated depth images are quite promising. The system performs well in the reconstruction of small indoor spaces. Our final goal is to develop a system for automatic navigation of a mobile robot in a room.","PeriodicalId":204646,"journal":{"name":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Rectangular subregioning and 3-D maximum-surface techniques for fast stereo matching 矩形分区和三维最大曲面快速立体匹配技术

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988762

Changming Sun

引用次数: 10

Multi-resolution stereo matching using genetic algorithm 基于遗传算法的多分辨率立体匹配

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988759

Minglun Gong, Herbert Yang

引用次数: 42

A hierarchical stereo algorithm using dynamic programming 采用动态规划的分层立体算法

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988775

G. Van Meerbergen, M. Vergauwen, M. Pollefeys, L. Van Gool

{"title":"A hierarchical stereo algorithm using dynamic programming","authors":"G. Van Meerbergen, M. Vergauwen, M. Pollefeys, L. Van Gool","doi":"10.1109/SMBV.2001.988775","DOIUrl":"https://doi.org/10.1109/SMBV.2001.988775","url":null,"abstract":"In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost functions are compared. The algorithm achieves a tremendous gain in speed and memory requirements by implementing it hierarchically. The images are down sampled an optimal number of times and the disparity map of a lower level is used as 'offset' disparity map at a higher level. An important contribution consists of the complexity analysis of the algorithm. It is shown that this complexity is independent of the disparity range. This result is also used to determine the-optimal number of down sample levels. This speed gain results in the ability to use more complex (compute intensive) cost functions that deliver high quality disparity maps. Another advantage of this algorithm is that cost functions can be chosen independent of the optimisation algorithm. Finally, the algorithm was carefully implemented so that a minimal amount of memory is used. It has proven its efficiency on large images with a high disparity range as well as its quality. Examples are given in this paper.","PeriodicalId":204646,"journal":{"name":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115117372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Semi-dense stereo correspondence with dense features 具有密集特征的半密集立体对应

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988773

O. Veksler

引用次数: 7

Hierarchical stochastic diffusion for disparity estimation 视差估计的分层随机扩散

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988769

Sang Hwa Lee, Y. Kanatsugu, Jong-Il Park

{"title":"Hierarchical stochastic diffusion for disparity estimation","authors":"Sang Hwa Lee, Y. Kanatsugu, Jong-Il Park","doi":"10.1109/SMBV.2001.988769","DOIUrl":"https://doi.org/10.1109/SMBV.2001.988769","url":null,"abstract":"This paper proposes a stochastic approach to estimate the disparity field combined with line field. In the maximum a posteriori (MAP) method based on Markov random field (MRF) model, it is important to optimize and converge the Gibbs potential function corresponding to the perturbed disparity field. The proposed optimization method, stochastic diffusion, takes advantage of the probabilistic distribution of the neighborhood fields, and diffuses the Gibbs potential space to be stable iteratively. By using the neighborhood distribution in the non-random and non-deterministic diffusion, the stochastic diffusion improves both the estimation accuracy and the convergence speed. In the paper, the hierarchical stochastic diffusion is also applied to the disparity field. The hierarchical approach reduces the memory and computational load, and increases the convergence of the potential space. The line field is the discontinuity model of the disparity field. The paper also proposes an effective configuration of the neighborhood to be suitable for the hierarchical disparity structure. According to the experiments, the stochastic diffusion shows good estimation performance. The line field improves the estimation at the object boundary, and the estimated line field coincides with the object boundary with the useful contours. Furthermore, the stochastic diffusion with line field embeds the occlusion detection and compensation. And, the stochastic diffusion converges the estimated fields very fast in the hierarchical scheme. The stochastic diffusion is applicable to any kind of field estimation given the appropriate definition of the field and MRF models.","PeriodicalId":204646,"journal":{"name":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123875310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Combination of stereo, motion and rendering for 3D footage display 结合立体，运动和渲染3D画面显示

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 2001-12-09 DOI: 10.1109/SMBV.2001.988767

J. Shao

{"title":"Combination of stereo, motion and rendering for 3D footage display","authors":"J. Shao","doi":"10.1109/SMBV.2001.988767","DOIUrl":"https://doi.org/10.1109/SMBV.2001.988767","url":null,"abstract":"The emergence of a new generation of 3D auto stereoscopic displays is driving the requirement for multi-baseline images. The dominant form of this display technology requires multiple views of the same scene, captured at a single, instance in time along a common baseline in order to project stereoscopic images to the viewer. The direct acquisition of multiple views (typically 8 or 16 for the current generation of such displays) is problematic due to the difficulty of configuring, calibrating and controlling multiple cameras simultaneously. This paper describes a technique that alleviates these problems by generating the required views from binocular images. Considering each stereo pair in isolation leads to inconsistency on image sequences. By incorporating a motion-tracking algorithm this problem is significantly reduced. In this paper we describe a novel approach to stereo matching on image sequences for the purpose of generating multiple virtual camera views. Results of extensive tests on stereo image sequences, will be documented indicating that this approach is promising both in terms of the speed of execution and the quality of the results produced.","PeriodicalId":204646,"journal":{"name":"Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120957936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A simple stereo algorithm to recover precise object boundaries and smooth surfaces 一个简单的立体算法，以恢复精确的物体边界和光滑的表面

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 1900-01-01 DOI: 10.1109/SMBV.2001.988774

M. Okutomi, Y. Katayama

引用次数: 29

Dense 3-D reconstruction of an outdoor scene, by hundreds-baseline stereo using a hand-held video camera 密集的三维重建室外场景，由数百基线立体使用手持摄像机

Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) Pub Date : 1900-01-01 DOI: 10.1109/SMBV.2001.988763

T. Sato, M. Kanbara, N. Yokoya, I. Takemura

引用次数: 0