2012 Ninth Conference on Computer and Robot Vision最新文献_第2页

Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination 未知光照下基于非lambertian模型的单幅图像人脸形状恢复

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.40

S. Elhabian, Eslam A. Mostafa, H. Rara, A. Farag

{"title":"Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination","authors":"S. Elhabian, Eslam A. Mostafa, H. Rara, A. Farag","doi":"10.1109/CRV.2012.40","DOIUrl":"https://doi.org/10.1109/CRV.2012.40","url":null,"abstract":"Through depth perception, humans have the ability to determine distances based on a single 2D image projected on their retina, where shape-from-shading (SFS) provides a mean to mimic such a phenomenon. The goal of this paper is to recover 3D facial shape from a single image of unknown general illumination, while relaxing the non-realistic assumption of Lambert Ian reflectance. Prior shape, albedo and reflectance models from real data, which are metric in nature, are incorporated into the shape recovery framework. Adopting a frequency-space based representation of the image irradiance equation, we propose an appearance model, termed as Harmonic Projection Images, which accounts explicitly for different human skin types as well as complex illumination conditions. Assuming skin reflectance obeys Torrance-Sparrow model, we prove analytically that it can be represented by at most 5th order harmonic basis whose closed form is provided. The recovery framework is a non-iterative approach which incorporates regression-like algorithm in the minimization process. Our experiments on synthetic and real images illustrate the robustness of our appearance model vis-a-vis illumination variation.","PeriodicalId":372951,"journal":{"name":"2012 Ninth Conference on Computer and Robot Vision","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123034288","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

Extracting High-Level Intuitive Features (HLIF) for Classifying Skin Lesions Using Standard Camera Images 利用标准相机图像提取高级直观特征(HLIF)进行皮肤病变分类

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.59

R. Amelard, A. Wong, David A Clausi

引用次数: 21

Multi-Robot Repeated Area Coverage: Performance Optimization Under Various Visual Ranges 多机器人重复区域覆盖:不同视距下的性能优化

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.46

Pooyan Fazli, Alireza Davoodi, Alan K. Mackworth

引用次数: 7

In Situ Motion Capture of Speed Skating: Escaping the Treadmill 速度滑冰的现场动作捕捉:逃离跑步机

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.68

J. Boyd, Andrew Godbout, C. Thornton

引用次数: 14

Adaptive RGB-D Localization 自适应RGB-D定位

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.11

M. Paton, J. Kosecka

引用次数: 32

3D Registration for Verification of Humanoid Justin's Upper Body Kinematics 验证仿人Justin上半身运动学的3D注册

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.43

Nadia Figueroa, Haider Ali, Florian Schmidt

引用次数: 7

Dynamic Weighting of Facial Features for Automatic Pose-Invariant Face Recognition 自动姿态不变人脸识别中人脸特征的动态加权

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.61

Eslam A. Mostafa, A. Farag

引用次数: 12

Optical Flow at Occlusion 遮挡光流

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.34

Jieyu Zhang, J. Barron

引用次数: 6

Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements 机器人激光距离有效测量的多尺度显著性导向压缩感知方法

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.8

S. Schwartz, A. Wong, David A Clausi

{"title":"Multi-Scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements","authors":"S. Schwartz, A. Wong, David A Clausi","doi":"10.1109/CRV.2012.8","DOIUrl":"https://doi.org/10.1109/CRV.2012.8","url":null,"abstract":"Improving laser range data acquisition speed is important for many robotic applications such as mapping and localization. One approach to reducing acquisition time is to acquire laser range data through a dynamically small subset of measurement locations. The reconstruction can then be performed based on the concept of compressed sensing (CS), where a sparse signal representation allows for signal reconstruction at sub-Nyquist measurements. Motivated by this, a novel multi-scale saliency-guided CS-based algorithm is proposed for an efficient robotic laser range data acquisition for robotic vision. The proposed system samples the objects of interest through an optimized probability density function derived based on multi-scale saliency rather than the uniform random distribution used in traditional CS systems. Experimental results with laser range data from indoor and outdoor environments show that the proposed approach requires less than half the samples needed by existing CS-based approaches while maintaining the same reconstruction performance. In addition, the proposed method offers significant improvement in reconstruction SNR compared to current CS-based approaches.","PeriodicalId":372951,"journal":{"name":"2012 Ninth Conference on Computer and Robot Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131135361","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

Improved Edge Representation via Early Recurrent Inhibition 通过早期复发性抑制改善边缘表征

2012 Ninth Conference on Computer and Robot Vision Pub Date : 2012-05-28 DOI: 10.1109/CRV.2012.13

Xun Shi, John K. Tsotsos

{"title":"Improved Edge Representation via Early Recurrent Inhibition","authors":"Xun Shi, John K. Tsotsos","doi":"10.1109/CRV.2012.13","DOIUrl":"https://doi.org/10.1109/CRV.2012.13","url":null,"abstract":"This paper describes a biologically motivated computational model, termed as early recurrent inhibition, to improve edge representation. The computation borrows the idea from the primate visual system that visual features are calculated in the two main visual pathways with different speeds and thus one can positively affect the other via early recurrent mechanisms. Based on the collected results, we conclude such a recurrent processing from area MT to the ventral layers of the primary visual area (V1) may be at play, and hypothesize that one effect of this recurrent mechanism is that V1 responses to high-spatial frequency edges are suppressed by signals sent from MT, leading to a cleaner edge representation. The operation is modeled as a weighted multiplicative inhibition process. Depending on the weighting methods, two types of inhibition are investigated, namely isotropic and anisotropic inhibition. To evaluate the inhibited edge representation, our model is attached to a contour operator to generate binary contour maps. Using real images, we quantitatively compared contours calculated by our work with those by a well-known biologically motivated model. Results clearly demonstrate that early recurrent inhibition has a positive and consistent influence on edge detection.","PeriodicalId":372951,"journal":{"name":"2012 Ninth Conference on Computer and Robot Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132762135","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: 0