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Towards Perceptual Interface for Visualization Navigation of Large Data Sets

Towards Perceptual Interface for Visualization Navigation of...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Min C. Shin Leonid V. Tsap Dmitry B. Goldgof Electronics Engineering Department Lawrence Livemore National Laboratory Livermore CA USA Department of CS&E University of South Florida Tampa FL USA Department of Computer Science UNC-Charlotte Charlotte NC USA

This paper presents a perceptual interface for visualization navigation using gesture recognition. Scientists are interested in developing interactive settings for exploring large data sets in an intuitive environment. The input consists of registered 3-D data. Bezier curves are used for trajectory analysis and classification of gestures. The method is robust and reliable: correct hand identification rate is 99.9% (from 1641 frames), modes of hand movements are correct 95.6% of the time, recognition rate (given the right mode) is 97.9%. An application to gesture-controlled visualization is also presented. The paper advances the state-of-the-art of human-computer interaction with a robust attachment- and marker-free gestural information processing for visualization.

关键词： Trajectory Data visualization Skin pattern recognition conferences computer vision Distance measurement

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Structure from Small Baseline Motion with Central Panoramic Cameras

Structure from Small Baseline Motion with Central Panoramic ...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Omid Shakernia Rene Vidal Shankar Sastry Department of Electrical Engineering & Computer Sciences University of California Berkeley USA

In applications of egomotion estimation, such as real-time vision-based navigation, one must deal with the double-edged sword of small relative motions between images. On one hand, tracking feature points is easier, while on the other, two-view structure-from-motion algorithms are poorly conditioned due to the low signal-to-noise ratio. In this paper, we derive a multi-frame structure from motion algorithm for calibrated central panoramic cameras. Our algorithm avoids the conditioning problem by explicitly incorporating the small baseline assumption in the algorithm's design. The proposed algorithm is linear, amenable to real-time implementation, and performs well in the small baseline domain for which it is designed.

关键词： Cameras Algorithm design and analysis Mirrors Three dimensional displays Retina Navigation Lenses

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GWINDOWS: Towards Robust Perception-Based UI

GWINDOWS: Towards Robust Perception-Based UI

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Andrew Wilson Nuria Oliver Microsoft Research One Microsoft Way Redmond WA USA

Perceptual user interfaces promise modes of fluid computer-human interaction that complement the mouse and keyboard, and have been especially motivated in non-desktop scenarios, such as kiosks or smart rooms. Such interfaces, however, have been slow to see use for a variety of reasons, including the computational burden they impose, a lack of robustness outside the laboratory, unreasonable calibration demands, and a shortage of sufficiently compelling applications. We have tackled some of these difficulties by using a fast stereo vision algorithm for recognizing hand positions and gestures. Our system uses two inexpensive video cameras to extract depth information. This depth information enhances automatic object detection and tracking robustness, and may also be used in applications. We demonstrate the algorithm in combination with speech recognition to perform several basic window management tasks, report on a user study probing the ease of using the system, and discuss the implications of such a system for future user interfaces.

关键词： Tracking Cameras computer vision User interfaces Keyboards Stereo vision Speech recognition

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The 4D Touchpad: Unencumbered HCI With VICs

The 4D Touchpad: Unencumbered HCI With VICs

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Jason J. Corso Darius Burschka Gregory D. Hager Computational Interaction and Robotics Laboratory Johns Hopkins University Baltimore MD USA

We present a platform for human-machine interfaces that provides functionality for robust, unencumbered interaction: the 4D Touchpad (4DT). The goal is direct interaction with interface components through intuitive actions and gestures. The 4DT is based on the 3D-2D Projection-based mode of the VICs framework. The fundamental idea behind VICs is that expensive global image processing with user modeling and tracking is not necessary in general vision-based HCI. Instead, interface components operating under simple-to-complex rules in local image regions provide more robust and less costly functionality with 3 spatial dimensions and 1 temporal dimension. A prototype realization of the 4DT platform is presented; it operates through a set of planar homographies with uncalibrated cameras.

关键词： Cameras Visualization Robustness computer vision Computational modeling conferences Shape

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Tools for Developing OCRs for Indian Scripts

Tools for Developing OCRs for Indian Scripts

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IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： M N S S K Pavan Kumar S S Ravi Kiran Abhishek Nayani C V Jawahar P J Narayanan International Institute of Information Technology Centre for Visual Information Technology Hyderabad India

Development of OCRs for Indian script is an active area of research today. Indian scripts present great challenges to an OCR designer due to the large number of letters in the alphabet, the sophisticated ways in which they combine, and the complicated graphemes they result in. The problem is compounded by the unstructured manner in which popular fonts are designed. There is a lot of common structure in the different Indian scripts. In this paper, we argue that a number of automatic and semi-automatic tools can ease the development of recognizers for new font styles and new scripts. We discuss briefly three such tools we developed and show how they have helped build new OCRs. An integrated approach to the design of OCRs for all Indian scripts has great benefits. We are building OCRs for many Indian languages following this approach as part of a system to provide tools to create content in them.

关键词： Optical character recognition software Image segmentation Driver circuits pattern recognition conferences computer vision Manuals

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Human Factors Evaluation of a vision-Based Facial Gesture Interface

Human Factors Evaluation of a Vision-Based Facial Gesture In...

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IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Gamhewage C. De Silva Michael J. Lyons Shinjiro Kawato Nobuji Tetsutani ATR Media Information Science Labs ATR Media Information Science Labs Kyoto Japan ATR Media Information Science Research Laboratories Kyoto Japan

We adapted a vision-based face tracking system for cursor control by head movement. An additional vision-based algorithm allowed the user to enter a click by opening the mouth. The Fitts law information throughput rate of cursor movements was measured to be 2.0 bits/sec with the ISO 9241-9 international standard method for testing input devices. A usability assessment was also conducted and we report and discuss the results. A practical application of this facial gesture interface was studied: text input using the Dasher system, which allows a user to type by moving the cursor. The measured typing speed was 7-12 words/minute, depending on level of user expertise. Performance of the system is compared to a conventional mouse interface.

关键词： Nose Face Tracking Throughput Mouth Pixel Gain

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P-Net: A Representation for Partially-Sequenced, Multi-stream Activity

P-Net: A Representation for Partially-Sequenced, Multi-strea...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Yifan Shi Aaron F. Bobick GVU Center / College of Computing Georgia Tech Atlanta GA USA

In this paper, we devise a Propagation Net (P-Net) as a new mechanism for the representation and recognition of multi-stream activity. Most of daily activities can be represented by temporally partial ordered intervals where each interval has not only temporal constraint, i.e., before/after/duration, but also a logical relationship such as a and b both must happen. P-Net associates a node for each interval that is probabilistically triggered function dependent upon the state of its parent nodes. Each node is also associated with an observation distribution function that associates perceptual evidence. This evidence, generated by lower level vision modules, is a positive indicator of the elemental action. Using this architecture, we devise an iterative temporal sequencing algorithm that interprets a multi-dimensional observation sequence of visual evidence as a multi-stream propagation through the P-Net. Simple vision and motion-capture data experiments demonstrate the capabilities of our algorithm.

关键词： Hidden Markov models Books Detectors Pediatrics conferences Noise measurement computer vision

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Optical flow estimation in omnidirectional images using wavelet approach

Optical flow estimation in omnidirectional images using wave...

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IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Cedric Demonceaux Djemaa Kachi-Akkouche UMR 6140 L.A.M.F.A. Amiens France EA 3299 CREA Amiens France

The motion estimation computation in the image sequences is a significant problem in image processing. Many researches were carried out on this subject in the image sequences with a traditional camera. These techniques were applied in omnidirectional image sequences. But the majority of these methods are not adapted to this kind of sequences. Indeed they suppose the flow is locally constant but the omnidirectional sensor generates distortions which contradict this assumption. In this paper, we propose a fast method to compute the optical flow in omnidirectional image sequences. This method is based on a Brightness Change Constraint Equation decomposition on a wavelet basis. To take account of the distortions created by the sensor, we replace the assumption of flow locally constant used in traditional images by a hypothesis more appropriate.

关键词： computer vision Image motion analysis Optical imaging Optical distortion Optical sensors Estimation Equations

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Omnidirectional Egomotion Estimation From Back-projection Flow

Omnidirectional Egomotion Estimation From Back-projection Fl...

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IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Omid Shakernia Rene Vidal Shankar Sastry Department of Electrical Engineering & Computer Sciences University of California Berkeley USA

The current state-of-the-art for egomotion estimation with omnidirectional cameras is to map the optical flow to the sphere and then apply egomotion algorithms for spherical projection. In this paper, we propose to back-project image points to a virtual curved retina that is intrinsic to the geometry of the central panoramic camera, and compute the optical flow on this retina: the so-called back-projection flow. We show that well-known egomotion algorithms can be easily adapted to work with the back-projection flow. We present extensive simulation results showing that in the presence of noise, egomotion algorithms perform better by using back-projection flow when the camera translation is in the X-Y plane. Thus, the proposed method is preferable in applications where there is no Z-axis translation, such as ground robot navigation.

关键词： Cameras computer vision Image motion analysis Optical imaging Retina Optical noise Noise

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Comparative Studies of Line-based Panoramic Camera Calibration

Comparative Studies of Line-based Panoramic Camera Calibrati...

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IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Fay Huang Shou-Kang Wei Reinhard Klette Department of Information and Computer Science Keio University Yokohama Japan Institute of Information Science Academia Sinica Taipei Taiwan CITR Computer Science Department University of Auckland Auckland New Zealand

The calibration of a line-based panoramic camera can be split into two independent subtasks: first calibrate the effective focal length and the principal row, and second, calibrate the off-axis distance and the principal angle. The paper provides solutions for three different methods, and compares these methods based on experiments using a superhigh resolution line-based panoramic camera. It turns out that the second subtask is solved best if a straight-segment based approach is used, compared to point-based or correspondence-based calibration methods, all already known for traditional (planar) pinhole cameras, but not yet previously discussed for panoramic cameras.

关键词： Cameras Calibration Distance measurement Three dimensional displays Pixel Sensitivity Image segmentation

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