Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
From Multiple Stereo Views to Multiple 3-D Surfaces
International Journal of Computer Vision
Implicit surface-based geometric fusion
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Multi Viewpoint Stereo from Uncalibrated Video Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Free-Form 3D Object Reconstruction from Range Images
VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
Surface Segmentation and Modeling of 3-D Polygonal Objects from Stereoscopic Image Pairs
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Visual surface segmentation from stereo
Image and Vision Computing
Range-data-based object surface segmentation via edges and critical points
IEEE Transactions on Image Processing
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In this paper, a multi-image region growing algorithm to obtain planar 3-D surfaces in the object space from multiple dense disparity maps, is presented. A surface patch is represented by a plane equation and a set of pixels in multiple images. The union of back projections of all pixels in the set onto the infinite plane, forms the surface patch. Thanks to that hybrid representation of planar surfaces, region growing (both region aggregation and region merging) is performed on all images simultaneously. Planar approximation is done in object space by linear least square estimation using all data points of the region under question in all images. Linear edge segments detected on colour images are used for constraining the region growing during the region aggregation phase as well as for detection of borders of surface patches. Experimental results on disparity maps obtained from high-resolution aerial images of urban areas demonstrate the performance of the algorithm.