robust 3D-3D pose estimation
Graph-Optimization base multi-sensor fusion for robust UAV pose estimation
... In this case, we present the results obtained with three datasets that were recorded in previous work [11] by per- forming flights over a vegetable field of 100m × 60m with the camera pointing downwards. A top view of ...
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Robust and Optimal Methods for Geometric Sensor Data Alignment
... a robust computer vision system should integrate as many complementary sources of information as possible, it can be productive to investigate each in ...sensor pose estimation problem, where the ...
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Worldwide Pose Estimation Using 3D Point Clouds
... reconstructed 3D model using the image geotags, so that its coordinates can be mapped to actual locations on the ...more robust SfM and georegistration methods ...
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A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
... State-of-the-art deep learning architectures such as ResNet [32], Inception-ResNet-v2 [46], DenseNet [47], or NASNet [48] have achieved an impressive performance in supervised learning tasks with high-dimensional data, ...
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Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
... the 3D model, we use stan- dard Computer Graphics texture-mapping ...3D pose. In Figure 1, we show how it can be used to initial- ize a 3D tracker we developed in previous work [7], and to ...
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Single view-based 3D face reconstruction robust to self-occlusion
... head pose estimation ...head pose estimation ...head pose because they can rotate the 3D shape model as closely as possible to the pose of the input face to find the ...
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Learning Latent Representations of 3D Human Pose with Deep Neural Networks
... Fig. 2. The results reported in Tables 1 and 2 were obtained using a two layer autoencoder. However, as discussed in Section 3.1 our formalism applies to autoencoders of any depth. Therefore, in Table 3(a), we also ...
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Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
... Early dynamical models were formulated as smooth, lin- ear Markov models [2, 3, 18], but such models do not cap- ture nonlinear properties of human motion and were found insufficient for monocular 3D pose ...
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Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps
... A very useful tool for building coarse spaces for which the corresponding two-level method is robust, regardless of the partition into subdomains and of the coefficient distribution, is the solution of local ...
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Specular motion and 3D shape estimation
... construct 3D depth information more robustly than specular ...so robust and possibly nonrigid) specular object would be (down) scaled with respect to that reference ...
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Pose Invariant Palm Vein Identification System using Convolutional Neural Network Nidaa Flaih Hassan Husam Imad Abdulrazzaq
... Some of the existing palm vein recognition system employed a special peg to keep the hand of the user stable, to take well aligned palm images, for modern biometric applications, such as mobile devices the pegs can't be ...
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3D estimation of a salient object
... of 3D reconstruction is treated. The 3D reconstruction reconstructs the 3D coordinates of an object that is seen by two cameras at different ...the 3D space due to ...objects 3D ...
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Monocular 3D Tracking of Articulated Human Motion in Silhouette and Pose Manifolds
... emphasis of [28] is on parameter learning of the bidirectional model and movement dynamics are not considered. Com- paring with [17, 28], the separate kinematics and silhouette manifold learning is a limitation of our ...
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Comparison On Matching Methods Used In Pose Tracking For 3D Shape Representation
... In this simulation, a cloud of points are used to represent any shape if the object surface is sufficiently densely sampled. Practically, these low level primitives can be obtained both directly from data measured by a ...
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A Robust Watermarking Algorithm of Encrypted Medical Volume Data Based on 3D DWT and 3D DCT
... six 3D images, ...different 3D images after encryption is close to zero, except that NC between liver1 and liver2 after encryption is relatively higher as the original images of liver1 and liver 2 are ...
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An ordered topological representation of 3D triangular mesh facial surface: concept and applications
... In this article, we presented a unified framework for ana- lyzing, describing, and encoding 3D triangular mesh facial surfaces. We proposed a novel representation that is sim- ple, compact, generic and ...
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Robust Brain MRI Segmentation for 3D Printing Applications
... The calculation was less viable at expelling the eyes, cerebellum, and dura mater, yet these issues can be effortlessly overcome later on with upgrades in preprocessing the picture. Future work for this ought to ...
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Secure and Robust 3D Localization in Wireless Sensor Networks
... Larger part of the localization techniques can be classified into two general classes explicitly, range-based and range-free techniques. Range based techniques [1], [2], [3], [4], [5], [6], [7] require the presence of ...
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Safe Harbor Statement
... Autodesk Vault 3D Engineering 3D Engineering 3D Engineering 3D Engineering Autodesk Productstream Sales Marketing Purchasing Manufacturing Suppliers Customers Partners Autodesk Stream[r] ...
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3D CT Arteriography and 3D CT Venography: The Separate Demonstration of Arterial Phase and Venous Phase on 3D CT Angiography in a Single Procedure
... on 3D-CT angiography (2, 3), and the demonstration of the venous system overlying arteries sometimes obscures the presence of cerebral aneurysms ...arterial-phase 3D-CT angiography (3D-CT ...
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