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It sparsely samples the pose space around the measured pose and for a few promising candidates applies a robust optimization procedure.
Tracking unknown human motions using generative tracking techniques requires the exploration of a high-dimensional pose space which is both difficult and computationally expensive.
In this case, the relationship is defined by learning continuous mapping functions between the face image and the pose space [29 31].
In our experiments, we evaluate different numbers of Gaussian processes (recall that we use one Gaussian process for each dimension in our weak pose space).
With the discretion of the time t and camera pose space, the integration can be rewritten as the weighted summation of all homographies in the discrete camera pose space, where a homography is the transformed sharp image projected by corresponding camera pose.
We define a number of "activity models", each composed of a pose space with unique dimensionality and an associated dynamical model, and each designed for use in the recovery of a particular class of activity.
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The main innovation of the proposed framework is to explore the underlying data structures of the body silhouette and pose spaces by constructing low-dimensional silhouettes and poses manifolds, establishing intermanifold mappings, and performing tracking in such manifolds using a particle filter.
The initial values of keypoints' world coordinates are obtained using space intersection with the cameras' initial pose from space resection.
For each dimension of the weak pose parameter space, we define a Gaussian process to map from 2D image features to this particular dimension.
Next, considering a specific Gough Stewart platform (SGSP), it is found that, when the payload inertia matrix is diagonal, the neutral pose joint space inverse generalized mass matrix is a symmetric Centro symmetric matrix.
GCPs in reality based 3D indoor mapping were utilized as the input to obtain the initial value of camera pose through space resection for both Case I and II.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com