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Locating landmark points plays an important role in applications related to human faces, such as registration of 3D faces, the deformation based on the fiducial points, and so on. We present a new form of three-dimensional shape representation based on the local projecting area, and suggest an algorithm of locating the landmark points with it. This representation is invariant to rotation and translation,...
Previous works that employed an automatic registration of multiple range views resorted to the use of corresponding 3D matching points in order to compute relative orientations. False 3D matches were detected by verifying their compliance with the parameteres of the orientation's mathematical model computed in 3D space. In this research we introduce a new method to detect correct 3D matches. This...
In this article, we present an approach for the automated extraction of quantitative information about trichome patterning on leaves of Arabidopsis thaliana. Time series of growing rosette leaves (4D confocal datasets, 3D + time) are used for this work. At first, significant anatomical structures, i.e. leaf surface and midplane are extracted robustly. Using the extracted anatomical structures, a biological...
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D LiDAR data typically has no texture information. To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data. We present a robust automatic registration approach...
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images from large photo collections. We present a fast location recognition technique based on structure from motion point clouds. Vocabulary tree-based indexing of features directly returns relevant fragments of 3D models instead...
This paper investigates geometric feature extraction from scanned image and applies it in multi-view image registration. The presented registration approach includes three steps, feature extraction, coarse registration and fine registration. Firstly, feature points are identified based on curvature estimation, and feature point linkage is set up according to neighboring relationship of the extracted...
This paper proposes a kind of feature extraction based efficient registration algorithm including coarse and fine registrations. During coarse registration, feature points are detected, and feature point links are set up according to the relationship establishment among all detected feature points. Iterative closest point (ICP) is used in fine registration to align view pairs after the coarse registration...
Aerial cables in urban area are complicated. On the other hand, to check interferences between heavy machines and road features, a safety and efficient 3D road environment survey system's necessity is increasing in the field of civil engineering. In this paper, efficient and robust aerial cable measurement method using a Mobile Mapping System (MMS) and its automatic extraction method from 3D point...
For realistic simulation, it is essential to determine the occlusion areas of the virtual object produces after registering real image and virtual object exactly. In this paper, we proposed the new method to solve occlusions using improved object contour extraction by neighboring edge search and MER (minimum enclosing rectangle). We acquire the detailed contour of complex objects by proposed algorithms...
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