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SPEC: Seeing People in the Wild with an Estimated Camera
[article]
2021
arXiv
pre-print
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To address this, we introduce SPEC, the first in-the-wild 3D HPS method that estimates the perspective camera from a single image and employs this to reconstruct 3D human bodies more accurately. ...
Specifically, we create a new photorealistic synthetic dataset (SPEC-SYN) with ground truth 3D bodies and a novel in-the-wild dataset (SPEC-MTP) with calibration and high-quality reference bodies. ...
To overcome these limitations in existing methods, we present SPEC (Seeing People in the wild with Estimated Cameras), the first 3D human pose and shape estimation framework that leverages cues present ...
arXiv:2110.00620v1
fatcat:b2yinrp22jeohgthzvdicnm6g4
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
[article]
2022
arXiv
pre-print
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Experiments on challenging indoor and in-the-wild datasets with dynamic cameras demonstrate that the proposed approach outperforms prior methods significantly in terms of motion infilling and global mesh ...
We present an approach for 3D global human mesh recovery from monocular videos recorded with dynamic cameras. ...
We start by using off-theshelf methods (e.g., KAMA [37] or SPEC [51] ) to estimate the shape and pose sequences (motions) of visible people in the camera coordinates. ...
arXiv:2112.01524v2
fatcat:f3kfqkmzqzdzjhjtrel43ktjtm
Putting People in their Place: Monocular Regression of 3D People in Depth
[article]
2022
arXiv
pre-print
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Second, height varies with age, making it impossible to resolve depth without also estimating the age of people in the image. ...
Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. ...
Introduction In this article, we focus on simultaneously estimating the 3D pose and shape of all people in an RGB image along with their relative depth. ...
arXiv:2112.08274v3
fatcat:lqufxqkdazavll7cwxj2gvflbq
The One Where They Reconstructed 3D Humans and Environments in TV Shows
[article]
2022
arXiv
pre-print
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Building on this insight, we propose an automatic approach that operates on an entire season of a TV show and aggregates information in 3D; we build a 3D model of the environment, compute camera information ...
In this paper, we make the observation that there is a certain persistence in TV shows, i.e., repetition of the environments and the humans, which makes possible the 3D reconstruction of this content. ...
PHOSA [68] recovers humans interacting with objects from in-the-wild images, and is followed by [62, 64] in other settings. ...
arXiv:2207.14279v1
fatcat:wtn3bcfdnvaphdheddm5pvbmbm
Practical Face Reconstruction via Differentiable Ray Tracing
[article]
2021
arXiv
pre-print
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For example, self-shadows estimated during the first stage, later prevent its baking into the personalized diffuse and specular albedos in the second stage. ...
To estimate the face attributes consistently and with practical semantics, a two-stage optimization strategy systematically uses a subset of parametric attributes, where subsequent attribute estimations ...
We thank the anonymous reviewers for their feedback. A sincere thank you to Christel Chamaret and Lionel Oisel for their support. ...
arXiv:2101.05356v1
fatcat:3zy4i5jdwrc2plxy2rhuxv2d7e
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
2022
ACM Computing Surveys
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Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. ...
We believe this survey will provide the readers (researchers, engineers, developers, etc.) with a deep and insightful understanding of monocular human pose estimation. ...
In this way, the complete 3D annotations of people in 2D in-the-wild images are available. ...
doi:10.1145/3524497
fatcat:4pbvntngrnfp7lqhcpjmy7p2fq
RefiNet: 3D Human Pose Refinement with Depth Maps
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Moreover, we present a new dataset, called Baracca, acquired with RGB, depth and thermal cameras and specifically created for the automotive context. ...
In this paper, we propose RefiNet, a multi-stage framework that regresses an extremely-precise 3D human pose estimation from a given 2D pose and a depth map. ...
The 3D pose estimation obtained with this approach is always an approximation. ...
doi:10.1109/icpr48806.2021.9412451
fatcat:ymjvqhzym5cd3bwkfasjcuebvu
A Study on Techniques of facial recognition and IOT Cam vulnerabilities: A survey
2018
International Journal of Engineering & Technology
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Face must be discover in vital an initial phase in of the confront acknowledgment some frameworks with knowledge confining and to be detaching the many face area from the background. ...
There is a best call for brilliant association Survey best in cameras everywhere throughout the cities. ...
which to be encoded with an people extremely powerless back base--64 design. ...
doi:10.14419/ijet.v7i4.6.20240
fatcat:56qpmgmv65a3jgjc2rh3wgtuea
Unified Simulation, Perception, and Generation of Human Behavior
[article]
2022
arXiv
pre-print
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In this thesis, we take a holistic approach to human behavior modeling and tackle its three essential aspects -- simulation, perception, and generation. ...
Throughout the thesis, we show how the three aspects are deeply connected and how utilizing and improving one aspect can greatly benefit the other aspects. ...
We start by using off-the-shelf methods (e.g., KAMA [120] or SPEC [147] ) to estimate the shape and pose sequences (motions) of visible people in the camera coordinates. ...
arXiv:2204.13678v1
fatcat:ls2kmgifbjbaffgwodgdiilstm
Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality
[article]
2022
arXiv
pre-print
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The described trained semantic segmentation algorithm is already integrated in an end-to-end system for Mixed Reality (MR), making it possible for users to see his/her own body while being immersed in ...
We conduct experiments to understand the contribution of the individual datasets; compare Thundernet model trained with EgoBodies with simpler and more complex previous approaches and discuss their corresponding ...
VR goggles with a stereo camera in front of them, as can be seen in Fig . 1 . ...
arXiv:2207.01296v1
fatcat:ztyfklq4c5b4vnmdtijnnnryc4
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Estimating Optical Properties of Layered Surfaces Using the Spider Model
Tan, Tieniu
Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group
Tan, Wei-Chian
Estimating Camera ...
: A Parameterized Model of 2D Articulated Human Shape
Freund, Ziv
An Eye for an Eye: A Single Camera Gaze-Replacement Method
Friedlhuber, Thomas
Demo: The OpenTL Framework for Model-based Visual ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
Recovering 3D Human Mesh from Monocular Images: A Survey
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.01923v1 fatcat:lxg7tokzyjfkrirf6dkatzih2m
With the same goal of obtaining well-aligned and physically plausible mesh results, two paradigms have been developed to overcome challenges in the 2D-to-3D lifting process: i) an optimization-based paradigm ...
Though remarkable progress has been achieved in the past decade, the task is still challenging due to flexible body motions, diverse appearances, complex environments, and insufficient in-the-wild annotations ...
Such an analysis-by-synthesis strategy facilities the usage of in-the-wild images and helps to recover geometric details. ...
arXiv:2203.01923v2
fatcat:vb6xa5wdsrhdxd2ebvg54qq2m4
Developing a rapid and highly efficient cowpea regeneration and transformation system using embryonic axis explants
[article]
2019
bioRxiv
pre-print
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Cowpea is one of the most important legume crops planted worldwide, especially in Sub-Saharan Africa and Asia. ...
Furthermore, the application of a ternary transformation vector system using an optimized pVIR accessory plasmid provided high levels of Agrobacterium-mediated gene delivery. ...
Acknowledgements We thank the super binary vector construction team from Corteva Agriscience for their support with vector construction and environmental control group for cowpea planting in the greenhouse ...
doi:10.1101/738971
fatcat:brrieb253fcuhljjsjqjop4ppa
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
[article]
2020
arXiv
pre-print
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Our model is trained over the combination of two datasets: 'Pointing'04' (aiming at covering a wide range of poses) and 'Annotated Facial Landmarks in the Wild' (in order to improve robustness of our model ...
Also, given its low inference time ( 6 ms per head), we consider our model usable even when paired with medium-spec hardware (i.e. ...
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. ...
arXiv:2011.01890v1
fatcat:eym2rlg4ajhgvpx5qzkdlqmhtq
The Rapid Rise of Next-Generation Natural History
2021
Frontiers in Ecology and Evolution
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The technological advances that have increased exponentially in the last decade include electronic sensors such as camera-traps and acoustic recorders, aircraft- and satellite-based remote sensing, animal-borne ...
Finally, these next-generation natural history observations are engaging scientists and non-scientists alike with new documentations of the wonders of nature. ...
We argue that these technologies allow early engagement of students to see, hear, or otherwise detect animals in the wild and inspire engagement with nature. ...
doi:10.3389/fevo.2021.698131
fatcat:eeeqfa6dhvf5zgqrdwdnh4k6y4
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