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SPEC: Seeing People in the Wild with an Estimated Camera [article]

Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black
2021 arXiv   pre-print
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]

Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz
2022 arXiv   pre-print
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]

Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black
2022 arXiv   pre-print
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]

Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa
2022 arXiv   pre-print
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]

Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cédric Thébault, Philippe-Henri Gosselin, Marco Romeo, Louis Chevallier
2021 arXiv   pre-print
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

Wu Liu, Tao Mei
2022 ACM Computing Surveys  
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

Andrea D'Eusanio, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
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

Mr. Ravula Arun Kumar, Ms. Sobharani, Mr. Seelam Nagarjuna Reddy, Y. Prasanna
2018 International Journal of Engineering & Technology  
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]

Ye Yuan
2022 arXiv   pre-print
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]

Ester Gonzalez-Sosa, Andrija Gajic, Diego Gonzalez-Morin, Guillermo Robledo, Pablo Perez, Alvaro Villegas
2022 arXiv   pre-print
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  
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]

Yating Tian, Hongwen Zhang, Yebin Liu, Limin Wang
2022 arXiv   pre-print
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]

Ping Che, Shunjun Chang, Marissa K Simon, Zhifen Zhang, Ahmed Shaharyar, Jesse Ourada, Dennis O'Neill, Mijael Torres-Mendoza, Yinping Guo, Kathleen M Marasigan, Jean-Philippe Vielle-Calzada, Peggy Ozias-Akins (+2 others)
2019 bioRxiv   pre-print
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]

Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
2020 arXiv   pre-print
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

Marie I. Tosa, Emily H. Dziedzic, Cara L. Appel, Jenny Urbina, Aimee Massey, Joel Ruprecht, Charlotte E. Eriksson, Jane E. Dolliver, Damon B. Lesmeister, Matthew G. Betts, Carlos A. Peres, Taal Levi
2021 Frontiers in Ecology and Evolution  
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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