2014 Canadian Conference on Computer and Robot Vision最新文献_第2页

Building Better Formlet Codes for Planar Shape 为平面形状构建更好的模板代码

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.19

A. Yakubovich, J. Elder

引用次数: 2

Adaptive Robotic Contour Following from Low Accuracy RGB-D Surface Profiling and Visual Servoing 基于低精度RGB-D曲面轮廓和视觉伺服的自适应机器人轮廓跟踪

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.15

D. Nakhaeinia, P. Payeur, R. Laganière

引用次数: 7

Vision-Based Qualitative Path-Following Control of Quadrotor Aerial Vehicle with Speeded-Up Robust Features 具有加速鲁棒特性的四旋翼飞行器视觉定性路径跟踪控制

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.50

Trung Nguyen, G. Mann, R. Gosine

引用次数: 5

A Meta-Technique for Increasing Density of Local Stereo Methods through Iterative Interpolation and Warping 一种通过迭代插值和翘曲提高局部立体方法密度的元技术

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.59

A. Murarka, Nils Einecke

{"title":"A Meta-Technique for Increasing Density of Local Stereo Methods through Iterative Interpolation and Warping","authors":"A. Murarka, Nils Einecke","doi":"10.1109/CRV.2014.59","DOIUrl":"https://doi.org/10.1109/CRV.2014.59","url":null,"abstract":"Despite much progress in global methods for computing depth from pairs of stereo images, local block matching methods are still immensely popular largely due to low computational cost and ease of implementation. However, such methods usually fail to produce valid depths in several image regions due to various reasons such as violations of a fronto-parallel assumption and lack of texture. In this paper, we present a simple and fast meta-technique for increasing the percentage of valid depths (depth map density) for local methods while keeping the percentage of pixels with erroneous depths, low. In the method, the original disparity map computed by a local stereo method is iteratively improved through a process of depth interpolation and image warping based on the interpolated depth. Image warping gives a mechanism for testing the validity of the interpolated depths allowing for incorrect depths to be discarded. Our results on the KITTI stereo data set demonstrate that, on average, we can increase density by 7-13% after a single iteration, for a 15-29% increase in computation and only a slight change in the outlier percentage, depending on the cost function used for matching.","PeriodicalId":385422,"journal":{"name":"2014 Canadian Conference on Computer and Robot Vision","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131223471","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: 2

3D Reconstruction by Fusioning Shadow and Silhouette Information 融合阴影和轮廓信息的三维重建

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.58

Rafik Gouiaa, J. Meunier

引用次数: 10

Camera Matrix Calibration Using Circular Control Points and Separate Correction of the Geometric Distortion Field 基于圆形控制点和几何畸变场单独校正的摄像机矩阵标定

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.34

Victoria Rudakova, P. Monasse

引用次数: 11

Photon Detection and Color Perception at Low Light Levels 弱光下的光子探测和颜色感知

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.45

Mehdi Rezagholizadeh, James J. Clark

{"title":"Photon Detection and Color Perception at Low Light Levels","authors":"Mehdi Rezagholizadeh, James J. Clark","doi":"10.1109/CRV.2014.45","DOIUrl":"https://doi.org/10.1109/CRV.2014.45","url":null,"abstract":"Working under low light conditions is of particular interest in machine vision applications such as night vision, tone-mapping techniques, low-light imaging, photography, and surveillance cameras. This work aims at investigating the perception of color at low light situations imposed by physical principles governing photon emission. The impact of the probabilistic nature of photon emission on our color perception becomes more significant at low light levels. In this regard, physical principles are leveraged to develop a framework to take into account the effects of low light level on color vision. Results of this study shows that the normalized spectral power distribution of light changes with light intensity and becomes more uncertain at low light situation as a result of which the uncertainty of color perception increases. Furthermore, a color patch at low light levels give rise to uncertain color measurements whose chromaticities form an elliptic shape inside the chromaticity diagram around the high intensity chromaticity of the color patch. The size of these ellipses is a function of the light intensity and the chromaticity of color patches however the orientation of the ellipses depends only on the patch chromaticity and not on the light level. Moreover, the results of this work indicate that the spectral composition of light is a determining factor in the size and orientation of the ellipses. The elliptic shape of measured samples is a result of the Poisson distribution governing photon emission together with the form of human cone spectral sensitivity functions and can partly explain the elliptic shape of MacAdam ellipses.","PeriodicalId":385422,"journal":{"name":"2014 Canadian Conference on Computer and Robot Vision","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129939389","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: 3

Automated Door Detection with a 3D-Sensor 带有3d传感器的自动门检测

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.44

Sebastian Meyer zu Borgsen, Matthias Schöpfer, Leon Ziegler, S. Wachsmuth

引用次数: 18

Visual Saliency Improves Autonomous Visual Search 视觉显著性提高自主视觉搜索

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.23

Amir Rasouli, John K. Tsotsos

引用次数: 12

Trinocular Spherical Stereo Vision for Indoor Surveillance 用于室内监视的三目球面立体视觉

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI: 10.1109/CRV.2014.56

M. Findeisen, G. Hirtz

引用次数: 6