Adaptive three dimensional laser scanning and object reconstruction

Lilas, T; Kollias, S

dc.contributor.author	Lilas, T	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:48:30Z
dc.date.available	2014-03-01T01:48:30Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25493
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-4944242339&partnerID=40&md5=20bd1dc4bfbc62d94b02a9b4971e304a	en
dc.subject	Adaptive laser scanning	en
dc.subject	Three dimensional object reconstruction	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational geometry	en
dc.subject.other	Computer vision	en
dc.subject.other	Data reduction	en
dc.subject.other	Filtration	en
dc.subject.other	Information analysis	en
dc.subject.other	Motion planning	en
dc.subject.other	Pattern matching	en
dc.subject.other	Photogrammetry	en
dc.subject.other	Problem solving	en
dc.subject.other	Scanning	en
dc.subject.other	Sensor data fusion	en
dc.subject.other	Surface properties	en
dc.subject.other	Three dimensional	en
dc.subject.other	Adaptive laser scanning	en
dc.subject.other	Image sequences	en
dc.subject.other	Object morphology	en
dc.subject.other	Three dimensional object reconstruction	en
dc.subject.other	Laser beams	en
dc.title	Adaptive three dimensional laser scanning and object reconstruction	en
heal.type	journalArticle	en
heal.publicationDate	1999	en
heal.abstract	Generating models of real objects is one of the central goals in computer vision. The aim of this paper is to present a method for deriving precise models of three-dimensional objects. The proposed approach efficiently combines techniques and algorithms used in several scientific fields closely related to computer vision. Stereo vision and photogrammetry are used in order to obtain accurate three-dimensional measurements. Methods of computational geometry based on Delaunay triangulations are used in order to generate a three dimensional model of the object. Pattern matching and segmentation techniques are used in order to evaluate the model and segment it. Path planning techniques are used for guiding the tool around the object in order to get all the necessary measurements to refine the model. The outline of the proposed methodology is the following. Initially we calibrate the system. Then we use a robot arm to scan the object with a laser beam and obtain range data. Next we examine the surface of the object and identify areas where the object has not been sampled properly. Based on these results a new scanning strategy is derived. The new scanning operation reveals new information on non-accurately sampled areas. The resulting solid models are merged providing a more accurate model. The above process is repeated until the desired quality based on the structure of the object is reached. Our approach is applied in cases where the structure of the object is known and simple, but also when the structure is complex. The proposed methodology has the following main characteristics: a) it adapts to object morphology, b) refines the initial estimation and c) provides a complete sequence of operations for deriving a three dimensional model.	en
heal.publisher	World Scientific and Engineering Academy and Society	en
heal.journalName	Computational Intelligence and Applications	en
dc.identifier.spage	366	en
dc.identifier.epage	371	en