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Generalization accuracy of a fast 2-D shape retrieval method

Generalization accuracy of a fast 2-D shape retrieval method

引用

Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03

作者： Super, Boaz J. Computer Vision and Robotics Lab. Computer Science Department University of Illinois at Chicago Chicago IL United States

In recent work, we presented a correspondence-based approach for real-time retrieval from databases of 2-D shapes. The system performs with high speed and accuracy relative to other published systems as measured on a widely used benchmark dataset. In this paper, we test the generalization accuracy of the approach;i.e., its ability to correctly retrieve shapes from a shape database when the query shapes are not contained in the database. The experimental results show that the system's accuracy on novel inputs is nearly as high as its accuracy on shapes that are already contained in the database, demonstrating that the approach has good generalization accuracy. This result provides additional support for the use of the proposed approach for shape retrieval and object recognition applications.

关键词： Image retrieval

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Activity recognition in wide aerial video surveillance using entity relationship models 12

Activity recognition in wide aerial video surveillance using...

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20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012

作者： Choi, Jongmoo Dumortier, Yann Prokaj, Jan Medioni, Gérard Computer Vision Lab. Institute for Robotics and Intelligent Systems University of Southern California United States

ISBN: (纸本)9781450316910

We present the design and implementation of an activity recognition system in wide area aerial video surveillance using Entity Relationship Models (ERM). In this approach, finding an activity is equivalent to sending a query to a Relational DataBase Management System (RDBMS). By incorporating reference imagery and Geographic Information System (GIS) data, tracked objects can be associated with physical meanings, and several high levels of reasoning, such as traffic patterns or abnormal activity detection, can be performed. We demonstrate that different types of activities, with hierarchical structure, multiple actors, and context information, are effectively and efficiently defined and inferred using the ERM framework. We also show how visual tracks can be better interpreted as activities by using geo information. Experimental results on both real visual tracks and GPS traces validate our approach. © 2012 Authors.

关键词： Security systems

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The "Castelet": A dynamically reconfigurable stage for performing arts 07

The "Castelet": A dynamically reconfigurable stage for perfo...

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ACM SIGGRAPH 2007 Sketches, SIGGRAPH'07

作者： Jobin, Jean-Philippe Comtois, Sylvain Gosselin, Clément Faguy, Robert Laurendeau, Denis Robotics Laboratory Computer Vision and Systems Lab. LANTISS Laval University Quebec City Canada

The hero jumped down the wall, escalated the hill, slid down the rock, climbed the stairs and finally left the vilain behind...In this classical scene, the hero has to move on different types of terrain. Recreating su...

ISBN: (纸本)9781450347266

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A two-stage multi-view analysis framework for human activity and interactions

A two-stage multi-view analysis framework for human activity...

引用

2007 IEEE Workshop on Motion and Video Computing, WMVC 2007

作者： Park, Sangho Trivedi, Mohan M. Computer Vision and Robotics Research Lab. University of California San Diego San Diego CA 92037

ISBN: (纸本)0769527930

This paper presents a new framework for a multi-stage multi-view approach for human interactions and activity analysis. The analysis is performed in a distributed vision system that synergistically integrate track- and body-level representations across multiple cameras. Our system aims at versatile and easily-deployable system that does not require careful camera calibration. Main contributions of the paper are: (1) context-dependent camera handover for occlusion handling, (2) switching the multi-stage analysis between track- and body-level representations, and (3) a hypothesis-verification paradigm for top-down feedback exploiting spatio-temporal constraints inherent in human interaction. Experimental evaluation shows the efficacy of the proposed system for analyzing multi-person interactions. Current implementation uses two views, but extension to more views is straightforward. © 2007 IEEE.

关键词： Human computer interaction

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Homography-based analysis of people and vehicle activities in crowded scenes

Homography-based analysis of people and vehicle activities i...

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7th IEEE Workshop on Applications of computer vision, WACV 2007

作者： Park, Sangho Trivedi, Mohan M. Computer Vision and Robotics Research Lab. University of California San Diego San Diego CA 92037

ISBN: (纸本)0769527949

This paper presents an new framework for homographybased analysis of pedestrian-vehicle activity in crowded scenes. Planar homography constraint is exploited to extract view-invariant object features including footage area and velocity of objects on the ground plane. Spatiotemporal relationships between people- and vehicle- tracks are represented by a semantic event. Context awareness of the situation is achieved by the estimated density distribution of objects and the anticipation of possible directions of near-future tracks using piecewise velocity history. Singleview and multi-view based homography mapping options are compared. Our framework can be used to enhance situational awareness for disaster prevention, human interactions in structured environments, and crowd movement analysis at wide regions. © 2007 IEEE.

关键词： Feature extraction

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A Real Time and Robust Facial Expression Recognition and Imitation approach for Affective Human-Robot Interaction Using Gabor filtering

A Real Time and Robust Facial Expression Recognition and Imi...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Cid, Felipe Prado, Jose Augusto Bustos, Pablo Nunez, Pedro Robotics and Artificial Vision Lab. Robolab Group University of Extremadura Spain Institute of Systems and Robotics Dept. Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9781467363587

Facial expressions are a rich source of communicative information about human behavior and emotion. This paper presents a real-time system for recognition and imitation of facial expressions in the context of affective Human Robot Interaction. The proposed method achieves a fast and robust facial feature extraction based on consecutively applying filters to the gradient image. An efficient Gabor filter is used, along with a set of morphological and convolutional filters to reduce the noise and the light dependence of the image acquired by the robot. Then, a set of invariant edge-based features are extracted and used as input to a Dynamic Bayesian Network classifier in order to estimate a human emotion. The output of this classifier updates a geometric robotic head model, which is used as a bridge between the human expressiveness and the robotic head. Experimental results demonstrate the accuracy and robustness of the proposed approach compared to similar systems.

关键词： Gabor filters belief networks edge detection emotion recognition face recognition feature extraction human-robot interaction image classification

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Dichromatic-based color constancy using dichromatic slope and dichromatic line space

Dichromatic-based color constancy using dichromatic slope an...

引用

IEEE International Conference on Image Processing 2005, ICIP 2005

作者： Yoon, Kuk-Jin Choi, Yoo Jin Kweon, In-So Robotics and Computer Vision Lab. Dept. of EECS KAIST Korea Republic of Mobile Multimedia Lab. LG Electronics Institute of Technology

ISBN: (纸本)0780391349

In this paper, we present a new dichromatic-based method for estimating illuminant chromaticity using a single image. In the proposed method, specular pixels are roughly extracted from an input image and projected into the three-dimensional dichromatic line space according to their image chromaticities and dichromatic slopes. Reliable dichromatic lines are then obtained by detecting local maxima in the dichromatic line space. Illuminant chromaticity is finally estimated by finding the intersections of the resulting dichromatic lines. The proposed method has some advantages. The proposed method can deal with highly textured images since it does not require precise color segmentation. In addition, the proposed method does not suffer from nearly parallel dichromatic lines and it can estimate artificial illuminant chromaticity. © 2005 IEEE.

关键词： Image analysis

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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...

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2016 IEEE Conference on computer vision and Pattern Recognition, CVPR 2016

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

ISBN: (纸本)9781467388511

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 crossspectral 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： Stereo image processing

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Robot homing based on corner tracking in a sequence of panoramic images

Robot homing based on corner tracking in a sequence of panor...

引用

2001 IEEE computer Society Conference on computer vision and Pattern Recognition

作者： Argyros, Antonis A. Bekris, Kostas E. Orphanoudakis, Stelios C. Computer Vision and Robotics Lab. Institute of Computer Science Found. for Res./Technology - Hellas Heraklion Crete Greece

In robotics, homing can be defined as that behavior which enables a robot to return to its initial (home) position, after traveling a certain distance along an arbitrary path. Odometry has traditionally been used for the implementation of such a behavior, but it has been shown to be an unreliable source of information. In this work, a novel method for visual homing is proposed, based on a panoramic camera. As the robot departs from its initial position, it tracks characteristic features of the environment (corners). As soon as homing is activated, the robot selects intermediate target positions on the original path. These intermediate positions (IPs) are then visited sequentially, until the home position is reached. For the robot to move between two consecutive IPs, it is only required to establish correspondence among at least three corners. This correspondence is obtained through a feature tracking mechanism. The proposed homing scheme is based on the extraction of very low-level sensory information, namely the bearing angles of corners, and has been implemented on a robotic platform. Experimental results show that the proposed scheme achieves homing with a remarkable accuracy, which is not affected by the distance travelled by the robot.

关键词： robotics

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Efficient 3D hand tracking in articulation subspaces for the manipulation of virtual objects 16

Efficient 3D hand tracking in articulation subspaces for the...

引用

33rd computer Graphics International Conference, CGI 2016

作者： Park, Gabyong Argyros, Antonis Woo, Woontack KAIST GSCT UVR Lab. Daejeon Korea Republic of Computational Vision and Robotics Lab. Institute of Computer Science FORTH University of Crete Greece

ISBN: (纸本)9781450341233

We propose an efficient method for model-based 3D tracking of hand articulations observed from an egocentric viewpoint that aims at supporting the manipulation of virtual objects. Previous modelbased approaches optimize non-convex objective functions defined in the 26 Degrees of Freedom (DoFs) space of pobible hand articulations. In our work, we decompose this space into six articulation subspaces (6 DoFs for the palm and 4 DoFs for each finger). We also lab.l each finger with a Gaubian model that is propagated between succebive image frames. As confirmed by a number of experiments, this divide-and-conquer approach tracks hand articulations more accurately than existing model-based approaches. At the same time, real time performance is achieved without the need of GPGPU procebing. Additional experiments show that the proposed approach is preferable for supporting the accurate manipulation of virtual objects in VR/AR scenarios. © 2016 ACM.

关键词： Degrees of freedom (mechanics)

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