Results 211 to 220 of about 537,297 (264)
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Imaged Depth Versus True Depth
Proceedings, 2015Summary The use of the term ‘velocity’ to describe both the true propagation velocity and the modelling “velocity” used in processing (what is here termed ‘pro-velocity’) has given rise to a damaging level of confusion whereby a great majority of geoscientists take the depth image to be a good representation of depth in the subsurface. The relationship
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Proceedings., IEEE International Conference on Robotics and Automation, 2002
Motion relative to a surface is addressed. Image flow can be caused either by motion of objects in the world or by motion of the eye through the world. If knowledge exists of eye motion, dense range maps can be computed locally for all stationary object pixels.
James S. Albus, Tsai Hong
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Motion relative to a surface is addressed. Image flow can be caused either by motion of objects in the world or by motion of the eye through the world. If knowledge exists of eye motion, dense range maps can be computed locally for all stationary object pixels.
James S. Albus, Tsai Hong
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Depth-resolved Lensless Imaging
Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), 2018A numerical approach is developed to reconstruct 3D images from a set of wavelengthand phase-resolved diffraction patterns, resulting in a computational depth-resolved imaging method.
Du, M., Eikema, K. S.E., Witte, S.
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Parsing the Hand in Depth Images
IEEE Transactions on Multimedia, 2014Hand pose tracking and gesture recognition are useful for human-computer interaction, while a major problem is the lack of discriminative features for compact hand representation. We present a robust hand parsing scheme to extract a high-level description of the hand from the depth image.
Hui Liang 0003 +2 more
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2019
As robots are developed for large-scale applications in autonomous driving, package delivery, and agriculture, there is a growing need for affordable and reliable depth sensing. Robots use active illumination sensors like scanning LIDAR and depth cameras to perceive their worlds. Scanning LIDAR is prevalent because it offers long-range, robust sensing,
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As robots are developed for large-scale applications in autonomous driving, package delivery, and agriculture, there is a growing need for affordable and reliable depth sensing. Robots use active illumination sensors like scanning LIDAR and depth cameras to perceive their worlds. Scanning LIDAR is prevalent because it offers long-range, robust sensing,
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2012
This thesis depicts approaches toward real-time depth sensing. While humans are very good at estimating distances and hence are able to smoothly control vehicles and their own movements, machines often lack the ability to sense their environment in a manner comparable to humans. This discrepancy prevents the automation of certain job steps.
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This thesis depicts approaches toward real-time depth sensing. While humans are very good at estimating distances and hence are able to smoothly control vehicles and their own movements, machines often lack the ability to sense their environment in a manner comparable to humans. This discrepancy prevents the automation of certain job steps.
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UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images
IEEE Transactions on Instrumentation and Measurement, 2021Abhinav Dhall +2 more
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IVFuseNet: Fusion of Infrared and Visible Light Images for Depth Prediction
Information Fusion, 2020Haitao Zhao
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The Impact of Breast Cancer on Sexuality, Body Image, and Intimate Relationships
Ca-A Cancer Journal for Clinicians, 1991Leslie Schover
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