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Depth estimation results for the 3D Cross Structure

Holoscopic 3D image depth estimation and segmentation techniques

Holoscopic 3D image depth estimation and segmentation techniques

... and 3D object recognition ...the structure of the boundaries in an image to be processed while significantly reducing the amount of information to be ...

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DENSE 3D STRUCTURE AND MOTION ESTIMATION

DENSE 3D STRUCTURE AND MOTION ESTIMATION

... feature-based structure from motion approaches with the spatial coherence of dense reconstruction ...the depth field by intro- ducing an anisotropic diffusion ...resulting depth maps can serve as a ...

5

Depth estimation from 3D reconstructed scene using stereo vision

Depth estimation from 3D reconstructed scene using stereo vision

... building 3D maps of the ...a depth finder sensor which its cost is also affordable a little bit expensive than the stereo camera but it can provide an online 3D mapping and clear depth mapping ...

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Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation

Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation

... a cross at its ...a cross indicated by two thin lines was shown in front of their view at the same depth as the target and they were instructed to keep the center of the cross aligned with the ...

12

Latent variable pictorial structure for human pose estimation on depth images

Latent variable pictorial structure for human pose estimation on depth images

... Prior models of human pose play a key role in state-of-the-art techniques for monocular pose estimation. However, a simple Gaussian model cannot represent well the prior knowledge of the pose diversity on ...

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3D Depth Measurement for Holoscopic 3D Imaging System

3D Depth Measurement for Holoscopic 3D Imaging System

... 3DM results of the proposal algorithm for some real and synthetic images, where the different objects are correctly perceived and distinguished from other objects in the scenes, while the 3D map ...

19

Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images

Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images

... novel depth-aware CNN for pixel level classification in RGB-D ...a 3D pose estimation problem, by predicting, for each pixel of the input image, its 3D coordinates in the object coordinate ...

7

On defocus, diffusion and depth estimation

On defocus, diffusion and depth estimation

... for depth estimation, since the amount of defocus varies with varying depth in the ...the depth in the scene and also generate the corresponding fully focused equivalent pin-hole ...viz. ...

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The 3D structure of the hadrons: recents results and experimental program at Jefferson Lab

The 3D structure of the hadrons: recents results and experimental program at Jefferson Lab

... projected results for DVCS beam spin asymmetries in a wide kinematic ...the cross sections, the variations of the t–dependences across the x B range encode information on nucleon imaging of quark position ...

11

Eliminating the blind spot : adapting 3D object detection and monocular depth estimation to 360° panoramic imagery.

Eliminating the blind spot : adapting 3D object detection and monocular depth estimation to 360° panoramic imagery.

... the cross-domain retraining of contemporary algorithms for panoramic ...scene depth and 3D pose of vehicles from monocular panoramic imagery without any panoramic training labels or calibration ...

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Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery

Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery

... In our work, we aim at methodologies that allow online change detection and analysis of building structures in city models given oblique aerial image sequences captured from commercial off- the-shelf (COTS) drones. ...

8

Depth Recovery and Motion Estimation Algorithms

Depth Recovery and Motion Estimation Algorithms

... detailed 3D structure from a single still image of an unstructured environment is ...create 3D models that are both quantitatively accurate as well as visually ...the 3D location and 3D ...

7

Depth maps estimation and use for 3DTV

Depth maps estimation and use for 3DTV

... , results are computed for all desired views in a single ...the depth of the background is physically the same with regards to acquisition ...spatial depth consistency applied to each ...

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An effective development of methodology for depth estimation

An effective development of methodology for depth estimation

... 2D-to 3D conversion ...mid-range depth, the aerial perspective cue can give the estimation of depth at long distance object, Linear perspective cue plans the basic depth to the ...

8

Methods for depth-map filtering in view-plus-depth 3D video representation

Methods for depth-map filtering in view-plus-depth 3D video representation

... superior results for the price of very high computational ...true depth range and its structure and is suitable for implementation on a mobile ...the depth, thus allowing for high-quality ...

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Comparison of Depth Cameras for 3D Reconstruction in Medicine

Comparison of Depth Cameras for 3D Reconstruction in Medicine

... pose estimation and obtain accurate 3D reconstruction ...of 3D reconstruction while using Microsoft Kinect V2 and Realsense ...improved 3D reconstruction ...

15

Non-parametric Depth Estimation for Images from a Single Reference Depth

Non-parametric Depth Estimation for Images from a Single Reference Depth

... estimating depth of a single still ...3-d depth and use an unsu- pervised neural network to transform the reference depth to represent the target ...the depth of a given image. Existing ...

11

Exploiting Structure in Data: Depth and Dynamics.

Exploiting Structure in Data: Depth and Dynamics.

... CHAPTER 5 CONCLUSION In this dissertation, we first explored the dynamics of information diffusion in social networks by modeling changes in the topical states of agents/users using diffusion processes in the network. ...

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To complete or to estimate, that is the question : a multi-task depth completion and monocular depth estimation.

To complete or to estimate, that is the question : a multi-task depth completion and monocular depth estimation.

... sparse depth information from the scene, a better under- standing of the scene geometric content and semantic con- text is encapsulated within the model, aiding the approach to not only gain a secondary capability ...

12

Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data

Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data

... deciduous trees than for coniferous trees. More detailed field measurements of the tree crowns would make it possible to create very detailed models of the tree crowns, but this was not realistic for a large number of ...

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