2015 12th Conference on Computer and Robot Vision最新文献

An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture 基于无人机的红三叶草地被测绘集成系统:以精准农业为例

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.43

Ammar M. Abuleil, Graham W. Taylor, M. Moussa

引用次数: 10

On Visual Servoing to Improve Performance of Robotic Grasping 视觉伺服提高机器人抓取性能的研究

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.39

Mona Gridseth, K. Hertkorn, Martin Jägersand

引用次数: 11

A Fingerprint Indexing Approach Using Multiple Similarity Measures and Spectral Clustering 基于多相似度量和谱聚类的指纹索引方法

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.34

N. A. Mngenge, Linda Mthembu, F. Nelwamondo, Cynthia H. Ngejane

{"title":"A Fingerprint Indexing Approach Using Multiple Similarity Measures and Spectral Clustering","authors":"N. A. Mngenge, Linda Mthembu, F. Nelwamondo, Cynthia H. Ngejane","doi":"10.1109/CRV.2015.34","DOIUrl":"https://doi.org/10.1109/CRV.2015.34","url":null,"abstract":"Fingerprint identification is still an open problem. Many proposed solutions relies on expert's predefined classes. Recent studies and experiments have shown that predefined classes are not suitable for large databases. The main challenge is the distribution of predefined expert's classes. Most fingerprints are loops; this means an identification system designed based on this classical approach slows down a matching process due to many 1-1 comparisons that need to be done to find an exact match. Beside this, some fingerprints sometimes lose their core points. In such case, it becomes very difficult to find the right class. To solve this problem, minutiae points positions (x,y) and orientations (θ) are proposed in this paper. Minutiae points are extracted and passed to a feature dimensions reduction algorithm composed of locality sensitive hashing (LSH) and histograms. The algorithm proposed creates 260 fixed length feature vectors for each fingerprint. Feature vectors are then passed to a spectral clustering which automatically creates 25 classes. Classes are then indexed through three similarity measures, namely, Euclidean, Cosine and Minkowski distance. The performance of the proposed approach is compared with two fingerprint identification systems which are based on Minutiae Cylinder-Code (MCC) and Minutiae Quadruplets (MQ). The proposed approach is 89.6% accurate while MCC and MQ approaches gets 89.4% and 79.56%, respectively, on a NIST 4 special database.","PeriodicalId":257595,"journal":{"name":"2015 12th Conference on Computer and Robot Vision","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115666243","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: 5

Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers 基于校正概率的随机森林分类器改进阈值选择

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.28

Florian Baumann, Jinghui Chen, Karsten Vogt, B. Rosenhahn

引用次数: 0

Situational Awareness for Manufacturing Applications 制造应用的态势感知

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.49

O. Cormier, Andrew Phan, F. Ferrie

引用次数: 3

Detection and Segmentation of Quasi-Planar Surfaces Through Expectation Maximization Under a Planar Homography Constraint 平面单应性约束下期望最大化拟平面检测与分割

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.19

Christopher Herbon, G. Schumann, Klaus D. Tönnies, Bernd Stock

引用次数: 0

Evolution of Programs for Segmentation of Microscopic Images 显微图像分割程序的演变

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.40

N. Kharma, Mohammad Ebne-Alian, L. Charbonneau

引用次数: 0

Fire Detection in Videos of Violent Crowds Acquired with Handheld Devices 用手持设备获取的暴力人群视频中的火灾探测

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.22

K. Moria, A. Albu, Kui Wu

引用次数: 0

Vision-Based Collision Avoidance for Personal Aerial Vehicles Using Dynamic Potential Fields 基于动态势场的个人飞行器视觉避碰

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.46

F. Rehmatullah, Jonathan Kelly

{"title":"Vision-Based Collision Avoidance for Personal Aerial Vehicles Using Dynamic Potential Fields","authors":"F. Rehmatullah, Jonathan Kelly","doi":"10.1109/CRV.2015.46","DOIUrl":"https://doi.org/10.1109/CRV.2015.46","url":null,"abstract":"In this paper we present a prototype system that aids the operator of a Personal Air Vehicle (PAV) by actively monitoring vehicle surroundings and providing autonomous control inputs for obstacle avoidance. The prototype is developed for a Personal Air Transportation System (PATS) that will enable human operators with low level of technical knowledge to use aerial vehicles for a day-to-day commute. While most collision avoidance systems used on human controlled vehicles override operator input, our proposed system allows the operator to be in control of the vehicle at all times. Our approach uses a dynamic potential field to generate pseudo repulsive forces that, when converted into control inputs, force the vehicle on a trajectory around the obstacle. By allowing the vehicle control input to be the sum of operator controls and collision avoidance controls, the system ensures that the operator is in control of the vehicle at all times. We first present a dynamic repulsive potential function and then provide a generic control architecture required to implement the collision avoidance system on a mobile platform. Further, extensive computer simulations of the proposed algorithm are performed on a quad copter model, followed by hardware experiments on a stereo vision sensor. The proposed collision avoidance system is computationally inexpensive and can be used with any sensor that can produce a point cloud for obstacle detection.","PeriodicalId":257595,"journal":{"name":"2015 12th Conference on Computer and Robot Vision","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115783976","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: 14

Lung Nodule Classification Using Deep Features in CT Images CT图像中基于深度特征的肺结节分类

2015 12th Conference on Computer and Robot Vision Pub Date : 2015-06-03 DOI: 10.1109/CRV.2015.25

Devinder Kumar, A. Wong, David A Clausi

引用次数: 291