isprsannals II 3 W2 7 2013
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The resulting components should not be interpreted as changes but as areas of potential changes that will be analysed in further steps using homological persistence (Section 2.2)
To approach the problem of a comparatively big model and the fact, that the camera pose is inside the model and only parts of it are visible at a current pose, virtual camera poses
Tracking comparison between the proposed method (top) and KLT (bottom) shows a significant tracking improvement on this aerial dataset, especially along image borders where the
A shape of simple occluded two hands is split into a palm and an incomplete pointing hand form, whose missing data is estimated by using PCA.. The system works in
As shown in Figure 1, the framework consists of two stages: (1) determining preliminary position and attitude using built-in sensory data such as velocity and angular rates, and
KEY WORDS: terrestrial laser scanning, joint roughness, range noise, discrete wavelet transform, stationary wavelet transform, denoising
KEY WORDS: Support Vector Machine, Change Detection, Dynamic Analysis, Mining Area,
KEY WORDS: Global Discrete Gird, Hierarchical Grid, Equal-Area, Snyder Projection, Geometry Distortion Analysis, Sphere
