2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)最新文献

3D Reconstruction methodology of leg with femoral diaphysis fracture using digital image processing 小腿股骨干骨折的数字图像处理三维重建方法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340571

Juan Sebastian Paniagua Alvarez, Cristian Cardona-Mancilla, C. A. Sánchez-Ríos, Juan Jose Arbelaez Toro, Maria E Moncada Acevedo, D. Hincapie-Zuluaga

{"title":"3D Reconstruction methodology of leg with femoral diaphysis fracture using digital image processing","authors":"Juan Sebastian Paniagua Alvarez, Cristian Cardona-Mancilla, C. A. Sánchez-Ríos, Juan Jose Arbelaez Toro, Maria E Moncada Acevedo, D. Hincapie-Zuluaga","doi":"10.1109/STSIVA.2012.6340571","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340571","url":null,"abstract":"This work shows the methodology development process for generation 3d computer models of the patients with femoral diaphysis fracture, who was participated in a clinic study. The leg model was constructed from lateral and frontal radiographs of the fracture (after being stabilized) so it is unique to each patient. The volumes considered for the reconstruction were: the femoral diaphysis, the fracture, the fracture zone, muscle and the skin. For the reconstruction process was performed positioning and coupling orthogonal radiographs, subsequently performed independently for each component of the 3D model, the superficial construction process using different techniques of space projection and intersection with the assistance of parametric software, finally the solids for all the model components are obtained and they are coupled making the necessary Boolean operations in order to assemble them and avoid get any interferences between tem, achieving this way a model that represents adequately the volumetric structure of the leg and it's components, based on the frontal and lateral images of the interest zone.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378049","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

Influence of structural similarities between sequences over ontology annotation proteins using BLASTP 利用BLASTP分析序列间结构相似性对本体注释蛋白的影响

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340583

A. F. Giraldo-Forero, J.E. Cuitiva-Sanchez, J. A. Jaramillo-Garzón, C. Castellanos-Dominguez

引用次数: 0

Practical MWF-based noise-reduction methods for binaural hearing aids 基于mwf的实用双耳助听器降噪方法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340562

J. I. Marin-Hurtado, D. Anderson

引用次数: 3

Obstacle detection over rails using hough transform 利用霍夫变换检测轨道上的障碍物

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340602

L. F. Rodríguez, J. A. Uribe, J. F. V. Bonilla

{"title":"Obstacle detection over rails using hough transform","authors":"L. F. Rodríguez, J. A. Uribe, J. F. V. Bonilla","doi":"10.1109/STSIVA.2012.6340602","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340602","url":null,"abstract":"Autonomous systems can assist humans in the important task of safe driving. Such systems can warn people about possible risks, take actions to avoid accidents or guide the vehicle without human supervision. Whether in cars or trains or ships the artificial vision algorithms offer an alternative for the design and implementation of autonomous driving systems. In railway scenarios cameras in front of the train can assist drivers with the identification of obstacles or strange objects on the rails. Multiple factors add huge complexity to this task. The changing conditions create a scene where background is hard to detect, lighting varies and process speed must be fast. This article describes a first approximation to the problem where using the Hough transform, the rails and area of interest are detected. On this area a systematic search is done for finding and delimiting possible obstacles. Our system accomplished a real time performance when employed in the analysis of recorded videos from the driver perspective. Using digital added obstacles our algorithm detects mostly all of them and warns if the objects over the rail can create a danger to the safety travel of the train.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116311098","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: 25

Manipulability index study on the KUKA robot KR5 ARC HW KUKA机器人KR5 ARC HW可操纵性指标研究

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340560

J. Henao, J. Garzon, L. D. Mumoz

引用次数: 4

Automatic generation of probability maps of retinal lesions 视网膜病变概率图的自动生成

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340548

J. Rudas, Ricardo Toscano, G. Sánchez

引用次数: 0

Trajectory generation for a robotic in a robocup test scenery using Kalman filter and B-spline curves 利用卡尔曼滤波和b样条曲线生成机器人在robocup测试场景中的轨迹

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340566

J. C. Restrepo, J. Villegas, Luis Alejandro Arias Barragan, S. Serna, C. Madrigal

引用次数: 4

Automatic method for calculation of 3D chain-codes on contours of holes in three dimensional surfaces of free-form objects 自由曲面上孔轮廓的三维链码自动计算方法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340547

P. Atencio, J. Branch, G. Sánchez

{"title":"Automatic method for calculation of 3D chain-codes on contours of holes in three dimensional surfaces of free-form objects","authors":"P. Atencio, J. Branch, G. Sánchez","doi":"10.1109/STSIVA.2012.6340547","DOIUrl":"https://doi.org/10.1109/STSIVA.2012.6340547","url":null,"abstract":"The filling process of holes or anomalies related to absence of information in three-dimensional digital models implies human intervention for selecting holes to be corrected. Automate such process requires the characterization of contours of holes in model surface. Recent works are restricted to do this characterization using differential geometry properties of curves, torsion and curvature. Other features such as contour symmetry and similarity with predefined geometric shapes are of great relevance for hole-classification by the human expert. These characteristics are not extractable by differential geometry of curves, thus require other types of representations. This paper presents a method to obtain a representation of 3D chain code from an unstructured sequence of points of a hole contour in the surface of a 3D model. This approximates a NURBS curve to smooth the contour of the hole and minimize the effect of noise in the data. Then use Bresenham algorithm for structuring the points by an array of dimension 3×3×3. Finally, the chain code is calculated by an indexing algorithm. The results show this method preserves the shape and contour behavior, structures the point set and allow to obtain efficiently the chain code representation.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123464662","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

Compensation for voice-producing devices for people with oral communication difficulties 为有口头交流困难的人提供发声设备的补偿

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340553

J. González, P. Murgas

引用次数: 0

Approach to cascade classifiers for identifying heart-beats 用于识别心跳的级联分类器方法

2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) Pub Date : 2012-11-12 DOI: 10.1109/STSIVA.2012.6340550

A. Naranjo, P. A. M. Gutierrez

引用次数: 0