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检索条件"机构=Computer Vision and Robotics Research lab"

共 60 条记录，以下是11-20 订阅

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Enhancement for face video from omni-directional video camera

Enhancement for face video from omni-directional video camer...

引用

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and computers

作者： Wu, Junwen Trivedi, Mohan M. Computer Vision and Robotics Research Lab ECE Department UC San Diego San Diego CA 92093 United States

In this paper we propose a novel algorithm to enhance the face video from omni-directional video camera. A two-stage strategy is used. First stage is the noise elimination, realized by iterative MAP update. Naive Bayesian criterion is used to model the posterior. The predominant salt and pepper noise introduced by the omni-to-perspective transformation can be removed effectively, while the image details are well-preserved. The high frequency component compensation (HFCC) super-resolution algorithm is applied thereafter to remove the blocky effect. Experimental results show that the video quality has a marked improvement. © 2004 IEEE.

关键词： Image enhancement

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Pushing the envelope of modern methods for bundle adjustment

Pushing the envelope of modern methods for bundle adjustment

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Conference on computer vision and Pattern Recognition (CVPR)

作者： Yekeun Jeong David Nister Drew Steedly Richard Szeliski In-So Kweon Robotics and Computer Vision Lab. KAIST Microsoft Research South Korea Robotics and Computer Vision Lab. KAIST Microsoft Research Robotics and Computer Vision Lab. KAIST Microsoft Research USA

In this paper, we present results and experiments with several methods for bundle adjustment, producing the fastest bundle adjuster ever published. The fastest methods work with the well known reduced camera system and handle the block-sparse pattern arising in the reduced camera system in a natural way. Adapting to the naturally arising block-sparsity allows the use of BLAS3, efficient memory handling, fast variable ordering, and customized sparse solving all at the same time. We present two methods, one using exact minimum degree ordering and block-based LDL solving, and one using block-based preconditioned conjugate gradient, both on the reduced camera system. We show experimentally that the adaptation to the natural block sparsity allows both these methods to perform better than previous ones. Further speed improvements are achieved by the novel use of embedded point iterations. The embedded point iterations take place inside each camera update step, yielding a higher cost decrease from each camera update step. This is especially true for points projecting far out on the flatter region of the robustifier.

关键词： Cameras Robot vision systems Large-scale systems computer vision Costs Convergence Character generation Robustness Frequency conversion Humans

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The Power is in Your Hands: 3D Analysis of Hand Gestures in Naturalistic Video

The Power is in Your Hands: 3D Analysis of Hand Gestures in ...

引用

IEEE Conference on computer vision and Pattern Recognition Workshops

作者： Eshed Ohn-Bar Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California

ISBN: (纸本)9781479909940

We study natural human activity under difficult settings of cluttered background, volatile illumination, and frequent occlusion. To that end, a two-stage method for hand and hand-object interaction detection is developed. First, activity proposals are generated from multiple sub-regions in the scene. Then, these are integrated using a second-stage classifier. We study a set of descriptors for detection and activity recognition in terms of performance and speed. With the overarching goal of reducing 'lab setting bias', a case study is introduced with a publicly available annotated RGB and depth dataset. The dataset was captured using a Kinect under real-world driving settings. The approach is motivated by studying actions-as well as semantic elements in the scene and the driver's interaction with them-which may be used to infer driver inattentiveness. The proposed framework significantly outperforms a state-of-the-art baseline on our dataset for hand detection.

关键词： Hand Dataset three dimensional analysis game player Gestures scaffolding method Human Activities distractability Drivers Videotapes

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Stereo Matching with Color and Monochrome Cameras in Low-light Conditions

Stereo Matching with Color and Monochrome Cameras in Low-lig...

引用

IEEE Conference on computer vision and Pattern Recognition

作者： Hae-Gon Jeon Joon-Young Lee Sunghoon Im Hyowon Ha In So Kweon Robotics and Computer Vision Lab. KAIST Adobe Research

ISBN: (纸本)9781467388528

Consumer devices with stereo cameras have become popular because of their low-cost depth sensing capability. However, those systems usually suffer from low imaging quality and inaccurate depth acquisition under low-light conditions. To address the problem, we present a new stereo matching method with a color and monochrome camera pair. We focus on the fundamental trade-off that monochrome cameras have much better light-efficiency than color-filtered cameras. Our key ideas involve compensating for the radiometric difference between two cross-spectral images and taking full advantage of complementary data. Consequently, our method produces both an accurate depth map and high-quality images, which are applicable for various depth-aware image processing. Our method is evaluated using various datasets and the performance of our depth estimation consistently outperforms state-of-the-art methods.

关键词： Cameras Image quality Stereo cameras Color Dataset Image processing

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Retinal vessel tortuosity evaluation via circular hough transform

Retinal vessel tortuosity evaluation via circular hough tran...

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2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011

作者： Ghadiri, Farnoosh Pourreza, Hamidreza Banaee, Touka Delgir, Morteza Computer Engineering Department Machine Vision Lab Ferdowsi University Mashhad Iran Ophthalmic Research Center Khatam-Al-Anbia Hospital Medical Science University Mashhad Iran Computer Science Department Robotics Lab Northeastern University United States

ISBN: (纸本)9781467310055

Retinal vessel tortuosity has shown to be significantly associated with cardiovascular diseases such as hypertension and diabetes. Despite importance of this field a few techniques have been proposed yet. All previous methods rely on a vessel extraction phase, which its accuracy affects final output and also time consuming. Nobility of presented algorithm is to introduce a method for evaluating retinal vessel tortuosity without any explicit vessel detection. We use the Circular Hough Transform (CHT) based on gradient field of the retinal image. Each vessel curve is detected as a semi-circle by Hough transform and tortuosity of the curve is determined with the help of accumulated value of circle center and its radius. As there are no any specific database for tortuosity evaluation, the algorithm was tasted on database consisting of 40 images, mixture of DRIVE database and images from Khatam-Al-Anbia Hospital consisting of 40 retinal images, of which 20 were tortuous and 20 were non-tortuous. The proposed algorithm can achieve classification rate of 92% along with less computation time in compare of previous methods. © 2011 IEEE.

关键词： Database systems

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Radiometric Calibration by Transform Invariant Low-rank Structure

Radiometric Calibration by Transform Invariant Low-rank Stru...

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IEEE Conference on computer vision and Pattern Recognition

作者： Joon-Young Lee Boxin Shi Yasuyuki Matsushita In-So Kweon Katsushi Ikeuchi Robotics and Computer Vision Lab KAIST The University of Tokyo Microsoft Research Asia

ISBN: (纸本)9781457703942

We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different exposure times. We formulate the radiometric calibration problem as a rank minimization problem. Unlike previous approaches, our method naturally avoids over-fitting problem;therefore, it is robust against biased distribution of the input data, which is common in practice. When the exposure times are completely unknown, the proposed method can robustly estimate the response function up to an exponential ambiguity. The method is evaluated using both simulation and real-world datasets and shows a superior performance than previous approaches.

关键词： exposure time incoming data Radiation Response function Invariant Transform CALIBRATION METHODS

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Hidden Hands: Tracking Hands with an Occlusion Aware Tracker

Hidden Hands: Tracking Hands with an Occlusion Aware Tracker

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IEEE Conference on computer vision and Pattern Recognition Workshops

作者： Akshay Rangesh Eshed Ohn-Bar Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California San Diego La Jolla CA

This work presents an occlusion aware hand tracker to reliably track both hands of a person using a monocular RGB camera. To demonstrate its robustness, we evaluate the tracker on a challenging, occlusion-ridden naturalistic driving dataset, where hand motions of a driver are to be captured reliably. The proposed framework additionally encodes and learns tracklets corresponding to complex (yet frequently occurring) hand interactions offline, and makes an informed choice during data association. This provides positional information of the left and right hands with no intrusion (through complete or partial occlusions) over long, unconstrained video sequences in an online manner. The tracks thus obtained may find use in domains such as human activity analysis, gesture recognition, and higher-level semantic categorization.

关键词： Tracking Detectors Vehicles Reliability Cameras Feature extraction Conferences

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Robotic workcell for sole grasping in footwear manufacturing

Robotic workcell for sole grasping in footwear manufacturing

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Guillermo Oliver Pablo Gil Fernando Torres Automatics Robotics and Artificial Vision Lab (AUROVA). Computer Science Research Institute University of Alicante Spain

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

The goal of this paper is to present a robotic workcell to automate several tasks of the cementing process in footwear manufacturing. Our cell's main applications are sole digitization of a wide variety of footwear, glue dispensing and sole grasping from conveyor belts. This cell is made up of a manipulator arm endowed with a gripper, a conveyor belt and a 3D scanner. We have integrated all the elements into a ROS simulation environment facilitating control and communication among them, also providing flexibility to support future extensions. We propose a novel method to grasp soles of different shape, size and material, exploiting the particular characteristics of these objects. Our method relies on object contour extraction using concave hulls. We evaluate it on point clouds of 16 digitized real soles in three different scenarios: concave hull, k-NNs extension and PCA correction. While we have tested this workcell in a simulated environment, the presented system's performance is scheduled to be tested on a real setup at INESCOP facilities in the upcoming months.

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Attention estimation by simultaneous observation of viewer and view

Attention estimation by simultaneous observation of viewer a...

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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Anup Doshi Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California San Diego La Jolla CA USA

We introduce a new approach to analyzing the attentive state of a human subject, given cameras focused on the subject and their environment. In particular, the task of analyzing the focus of attention of a human driver is of primary concern. Up to 80% of automobile crashes are related to driver inattention; thus it is important for an Intelligent Driver Assistance System (IDAS) to be aware of the driver state. We present a new Bayesian paradigm for estimating human attention specifically addressing the problems arising in dynamic situations. The model incorporates vision-based gaze estimation, “top-down”- and “bottom-up”-based visual saliency maps, and cognitive considerations such as inhibition of return and center bias that affect the relationship between gaze and attention. Results demonstrate the validity on real driving data, showing quantitative improvements over systems using only gaze or only saliency, and elucidate the value of such a model for any human-machine interface.

关键词： Humans Layout State estimation Bayesian methods Vehicle dynamics Robot vision systems Man machine systems Probability distribution Computational modeling Observers

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Software mode changes for continuous motion tracking 1st

Software mode changes for continuous motion tracking

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1st International Workshop on Self-Adaptive Software, IWSAS 2000

作者： Karuppiah, Deepak Deegan, Patrick Araujo, Elizeth Yang, Yunlei Holness, Gary Zhu, Zhigang Lerner, Barbara Grupen, Roderic Riseman, Edward Dept. of Computer Science Computer Vision Research Laboratory University of Massachusetts AmherstMA01003 United States Dept. of Computer Science Laboratory for Perceptual Robotics University of Massachusetts AmherstMA01003 United States Dept. of Computer Science Lab. for Advanced Software Eng. Research University of Massachusetts AmherstMA01003 United States

ISBN: (纸本)3540416552

Robot control in nonlinear and nonstationary run-time environments presents challenges to traditional software methodologies. In particular, robot systems in "open" domains can only be modeled probabilistically and must rely on run-time feedback to detect whether hardware/software configurations are adequate. Modifications must be effected while guaranteeing critical performance properties. Moreover, in multi-robot systems, there are typically many ways in which to compensate for inadequate performance. The computational complexity of high dimensional sensorimotor systems prohibits the use of many traditional centralized methodologies. We present an application in which a redundant sensor array, distributed spatially over an office-like environment can be used to track and localize a human being while reacting at run-time to various kinds of faults, including: hardware failure, inadequate sensor geometries, occlusion, and bandwidth limitations. Responding at run-time requires a combination of knowledge regarding the physical sensorimotor device, its use in coordinated sensing operations, and high- level process descriptions. We present a distributed control architecture in which run-time behavior is both preanalyzed and recovered empirically to inform local scheduling agents that commit resources autonomously subject to process control specifications. Preliminary examples of system performance are presented from the UMass Self-Adaptive Software (SAS) platform. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Process control

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