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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"

共 4491 条记录，以下是61-70 订阅

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Designing a Moral Compass for the Future of computer vision using Speculative Analysis 30

Designing a Moral Compass for the Future of Computer Vision ...

引用

30th ieee/CVF conference on computer vision and pattern recognition workshops (cvprw)

作者： Skirpan, Michael Yeh, Tom Univ Colorado Boulder CO 80309 USA

ISBN: (纸本)9781538607336

In this paper we discuss and analyze possible futures for technologies in the field of computer vision (CV). Using a method we have coined speculative analysis we take a broad look at research trends in the field to categorize risks, analyze which ones are most threatening and likely, and ultimately summarize conclusions for how the field may attempt to stem future harms caused by CV technologies. We develop narrative case studies to provoke dialogue and deeply explore possible risk scenarios we found to be most probable and severe. We arrive at the position that there are serious potentials for CV to cause discriminatory harm and exacerbate cybersecurity issues.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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THETIS: THree Dimensional Tennis Shots A human action dataset

THETIS: THree Dimensional Tennis Shots A human action datase...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Gourgari, Sofia Goudelis, Georgios Karpouzis, Konstantinos Kollias, Stefanos Natl Tech Univ Athens Image Video & Multimedia Syst Lab GR-10682 Athens Greece

ISBN: (纸本)9780769549903

The detection and classification of human movements, as a joint field of computer vision and pattern recognition, is used with an increasing rate in applications designed to describe human activity. Such applications require efficient methods and tools for the automatic analysis and classification of motion capture data, which constitute an active field of research. To facilitate the development and the benchmarking of methods for action recognition, several video collections have previously been proposed. In this paper, we present a new video database that can be used for an objective comparison and evaluation of different motion analysis and classification methods. The database contains video clips that capture the 3D motion of individuals. To be more specific, the set consists of 8374 video clips, which contain 12 different types of tennis actions performed by 55 individuals, captured by Kinect. Kinect provides the depth map of motion data and helps to extract the 3D skeletal joint connections. Performing experiments using state of the art algorithms, the database shows to be very challenging. It contains very similar to each other actions, offering the opportunity to algorithms dedicated to gaming and athletics, to be developed and tested. The database is freely available for research purposes.

关键词： computer vision feature extraction image classification image motion analysis interactive devices object detection object recognition sport video databases

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Mobile Exergames - Burn Calories While Playing Games on a Smartphone

Mobile Exergames - Burn Calories While Playing Games on a Sm...

引用

26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Buddharaju, Pradeep Pamidi, Naga Siva Chandra Prasad Univ Houston Clear Lake Dept Comp Sci Houston TX 77058 USA

ISBN: (纸本)9780769549903

Exergames combine exercising with game play by requiring the users to perform some kind of physical activity (and exercise) in order to score points in the game. In this paper, we present a novel mobile exergaming framework, which requires the users to physically move and jump in order to score points in a game that is played on a smartphone. Our system uses a custom designed Exercising Pad (called ExerPad) in order to track the user's physical movement, and then automatically updates the corresponding game character's position on the screen. The ExerPad contains different shaped images, which are captured from the smartphone's inbuilt camera, and are automatically detected by our shape detection algorithm. We also use the smartphone's inbuilt accelerometer and gyroscope to detect other physical movements from the user such as jumping, turning etc. The experimental results show that the proposed mobile exergames helps its users to burn calories and have fun at the same time.

关键词： accelerometers cameras computer games gyroscopes health care mobile computing object detection object tracking smart phones

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On Visible Adversarial Perturbations & Digital Watermarking 31

On Visible Adversarial Perturbations & Digital Watermarking

引用

ieee/CVF conference on computer vision and pattern recognition (CVPR)

作者： Hayes, Jamie UCL London England

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

Given a machine learning model, adversarial perturbations transform images such that the model's output is classified as an attacker chosen class. Most research in this area has focused on adversarial perturbations that are imperceptible to the human eye. However, recent work has considered attacks that are perceptible but localized to a small region of the image. Under this threat model, we discuss both defenses that remove such adversarial perturbations, and attacks that can bypass these defenses.

关键词： Perturbation methods Watermarking Computational modeling Visualization Task analysis Image restoration computer vision

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AFRIFASHION1600: A Contemporary African Fashion Dataset for computer vision

AFRIFASHION1600: A Contemporary African Fashion Dataset for ...

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ieee/CVF conference on computer vision and pattern recognition (CVPR)

作者： Oyewusi, Wuraola Fisayo Adekanmbi, Olubayo Ibejih, Sharon Osakuade, Opeyemi Okoh, Ifeoma Salami, Mary Data Sci Nigeria Lagos Nigeria

ISBN: (纸本)9781665448994

This work presents AFRIFASHION1600, an openly accessible contemporary African fashion image dataset containing 1600 samples labelled into 8 classes representing some African fashion styles. Each sample is coloured and has an image size of 128 x 128. This is a niche dataset that aims to improve visibility, inclusion, and familiarity of African fashion in computer vision ***1600 dataset is available here.

关键词： computer vision conferences Computational modeling Machine learning pattern recognition Task analysis

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Using 3D Models to Recognize 2D Faces in the Wild

Using 3D Models to Recognize 2D Faces in the Wild

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26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Masi, Iacopo Lisanti, Giuseppe Bagdanov, Andrew D. Pala, Pietro Del Bimbo, Alberto Univ Florence MICC I-50134 Florence Italy

ISBN: (纸本)9780769549903

In this paper we consider the problem of face recognition in imagery captured in uncooperative environments using PTZ cameras. For each subject enrolled in the gallery, we acquire a high-resolution 3D model from which we generate a series of rendered face images of varying viewpoint. The result of regularly sampling face pose for all subjects is a redundant basis that over represents each target. To recognize an unknown probe image, we perform a sparse reconstruction of SIFT features extracted from the probe using a basis of SIFT features from the gallery. While directly collecting images over varying pose for all enrolled subjects is prohibitive at enrollment, the use of high speed, 3D acquisition systems allows our face recognition system to quickly acquire a single model, and generate synthetic views offline. Finally we show, using two publicly available datasets, how our approach performs when using rendered gallery images to recognize 2D rendered probe images and 2D probe images acquired using PTZ cameras.

关键词： data acquisition face recognition feature extraction image reconstruction image resolution image sampling pose estimation rendering (computer graphics) solid modelling

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A case for using rotation invariant features in state of the art feature matchers

A case for using rotation invariant features in state of the...

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ieee/CVF conference on computer vision and pattern recognition (CVPR)

作者： Bokman, Georg Kahl, Fredrik Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781665487399

The aim of this paper is to demonstrate that a state of the art feature matcher (LoFTR) can be made more robust to rotations by simply replacing the backbone CNN with a steerable CNN which is equivariant to translations and image rotations. It is experimentally shown that this boost is obtained without reducing performance on ordinary illumination and viewpoint matching sequences.

关键词： computer vision conferences Lighting pattern matching

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On Disentanglement and Mutual Information in Semi-Supervised Variational Auto-Encoders

On Disentanglement and Mutual Information in Semi-Supervised...

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ieee/CVF conference on computer vision and pattern recognition (CVPR)

作者： Gordon Rodriguez, Elliott Columbia Univ Dept Stat New York NY 10027 USA

ISBN: (纸本)9781665448994

In the context of variational auto-encoders, learning disentangled latent variable representations remains a challenging problem. In this abstract, we consider the semi-supervised setting, in which the factors of variation are labelled for a small fraction of our samples. We examine how the quality of learned representations is affected by the dimension of the unsupervised component of the latent space. We also consider a variational lower bound for the mutual information between the data and the semi-supervised component of the latent space, and analyze its role in the context of disentangled representation learning.

关键词： computer vision conferences pattern recognition Mutual information

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Rethinking the Self-Attention in vision Transformers

Rethinking the Self-Attention in Vision Transformers

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ieee/CVF conference on computer vision and pattern recognition (CVPR)

作者： Kim, Kyungmin Wu, Bichen Dai, Xiaoliang Zhang, Peizhao Yan, Zhicheng Vajda, Peter Kim, Seon Yonsei Univ Seoul South Korea Facebook Menlo Pk CA 94025 USA

ISBN: (纸本)9781665448994

Self-attention is a corner stone for transformer models. However, our analysis shows that self-attention in vision transformer inference is extremely sparse. When applying a sparsity constraint, our experiments on image (ImageNet-1K) and video (Kinetics-400) understanding show we can achieve 95% sparsity on the self-attention maps while maintaining the performance drop to be less than 2 points. This motivates us to rethink the role of self-attention in vision transformer models.

关键词： computer vision conferences Computational modeling pattern recognition

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Video Demo: An Egocentric vision based Assistive Co-robot

Video Demo: An Egocentric Vision based Assistive Co-robot

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26th ieee conference on computer vision and pattern recognition (CVPR)

作者： Zhang, Jingzhe Zhuang, Lishuo Wang, Yang Zhou, Yameng Meng, Yan Hua, Gang Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA Stevens Inst Technol Dept Comp Sci Hoboken NJ 07030 USA

ISBN: (纸本)9780769549903

We present the video demo of the prototype of an egocentric vision based assistive co-robot system. In this co-robot system, the user is wearing a pair of glasses with a forward looking camera, and is actively engaged in the control loop of the robot in navigational tasks. The egocentric vision glasses serve for two purposes. First, it serves as a source of visual input to request the robot to find a certain object in the environment. Second, the motion patterns computed from the egocentric video associated with a specific set of head movements are exploited to guide the robot to find the object. These are especially helpful for quadriplegic individuals who do not have the needed hand functionality for control with other modalities (e.g., joystick). In our co-robot system, when the robot does not fulfill the object finding task in a pre-specified time window, it would actively solicit user controls for guidance. Then the users can use the egocentric vision based gesture interface to orient the robot towards the direction of the object. After that the robot will automatically navigate towards the object until it finds it. Our experiments validated the efficacy of the closed-loop design to engage the human in the loop.

关键词： closed loop systems gesture recognition handicapped aids human-robot interaction image motion analysis medical robotics mobile robots path planning robot vision video signal processing

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