Generation of orthoimages and perspective views with automatic visibility checking and texture blending

Karras, GE; Grammatikopoulos, L; Kalisperakis, I; Petsa, E

dc.contributor.author	Karras, GE	en
dc.contributor.author	Grammatikopoulos, L	en
dc.contributor.author	Kalisperakis, I	en
dc.contributor.author	Petsa, E	en
dc.date.accessioned	2014-03-01T11:44:45Z
dc.date.available	2014-03-01T11:44:45Z
dc.date.issued	2007	en
dc.identifier.issn	0099-1112	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37137
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33947667380&partnerID=40&md5=94825e90984d2cfa19b6bf94e7c59926	en
dc.subject.classification	Geography, Physical	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Remote Sensing	en
dc.subject.classification	Imaging Science & Photographic Technology	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer graphics	en
dc.subject.other	Data acquisition	en
dc.subject.other	Pixels	en
dc.subject.other	Statistical methods	en
dc.subject.other	Visibility	en
dc.subject.other	Laser scanning	en
dc.subject.other	Orthorectification software	en
dc.subject.other	Surface occlusions	en
dc.subject.other	Visibility checking	en
dc.subject.other	Photogrammetry	en
dc.subject.other	algorithm	en
dc.subject.other	color	en
dc.subject.other	image resolution	en
dc.subject.other	orthophoto	en
dc.subject.other	photogrammetry	en
dc.subject.other	pixel	en
dc.subject.other	software	en
dc.subject.other	texture	en
dc.subject.other	visibility	en
dc.title	Generation of orthoimages and perspective views with automatic visibility checking and texture blending	en
heal.type	other	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Conventional orthorectification software cannot handle surface occlusions and image visibility. The approach presented here synthesizes related work in photogrammetry and computer graphics/vision to automatically produce orthographic and perspective views based on fully 3D surface data (supplied by laser scanning). Surface occlusions in the direction of projection are detected to create the depth map of the new image. This information allows identifying, by visibility checking through back-projection of surface triangles, all source images which are entitled to contribute color to each pixel of the novel image. Weighted texture blending allows regulating the local radiometric contribution of each source image involved, while outlying color values are automatically discarded with a basic statistical test. Experimental results from a close-range project indicate that this fusion of laser scanning with multi-view photogrammetry could indeed combine geometric accuracy with high visual quality and speed. A discussion of intended improvements of the algorithm is also included. © 2007 American Society for Photogrammetry and Remote Sensing.	en
heal.publisher	AMER SOC PHOTOGRAMMETRY	en
heal.journalName	Photogrammetric Engineering and Remote Sensing	en
dc.identifier.isi	ISI:000245385000010	en
dc.identifier.volume	73	en
dc.identifier.issue	4	en
dc.identifier.spage	403	en
dc.identifier.epage	411	en