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Conference on Mobile Multimedia/image processing, Security, and Applications 2010

作者： Bhatti, Nina Baker, Harlyn Marguier, Joanna Berclaz, Jerome Suesstrunk, Sabine Hewlett Packard Labs 1501 Page Mill Dr Palo Alto CA 94304 USA Ecole Polytech Fed Lausanne Sch Comp & Commun Sci IC Lausanne Switzerland

ISBN: (纸本)9780819481726

Camera phones are ubiquitous, and consumers have been adopting them faster than any other technology in modern history. When connected to a network, though, they are capable of more than just picture taking: Suddenly, they gain access to the power of the cloud. We exploit this capability by providing a series of image-based personal advisory services. These are designed to work with any handset over any cellular carrier using commonly available Multimedia Messaging Service (MMS) and Short Message Service (SMS) features. Targeted at the unsophisticated consumer, these applications must be quick and easy to use, not requiring download capabilities or preplanning. Thus, all application processing occurs in the back-end system (i.e., as a cloud service) and not on the handset itself. Presenting an image to an advisory service in the cloud, a user receives information that can be acted upon immediately. Two of our examples involve color assessment - selecting cosmetics and home decor paint palettes;the third provides the ability to extract text from a scene. In the case of the color imaging applications, we have shown that our service rivals the advice quality of experts. The result of this capability is a new paradigm for mobile interactions - image-based information services exploiting the ubiquity of camera phones.

关键词： image processing and computer vision Applications and Expert Systems Recommendation systems Mobile based image services Cloud computing

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FACIAL SKETCH SYNTHESIS USING DIRECT COMBINED MODEL

FACIAL SKETCH SYNTHESIS USING DIRECT COMBINED MODEL

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International Conference on Multimedia and Expo

作者： Tu, Ching-Ting Lien, Jenn-Jier James Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan 70101 Taiwan

ISBN: (纸本)9781424474936

Automatically synthesizing the facial sketches of a facial image is highly challenging since facial images typically exhibit a wide range of poses, expressions and scales, and have differing degrees of illumination and/or occlusion. When the facial sketches are to be synthesized in the unique sketching style of a particular artist, the problem becomes even more complex. This study develops an automatic facial sketch synthesis system based on a novel direct combined model (DCM) algorithm carrying three major advantages: First, DCM approach takes account of both the local details of each facial feature and the global geometric structure of the face, and thus the synthesized sketches more accurately mimic the caricatures drawn by the artist. Second, although the training database contains only full-frontal facial images with a neutral expression, sketches with a wide variety of facial poses, gaze directions and facial expressions can be successfully synthesized. Third, previous synthesizing proposals are heavily reliant on the quality of the texture reconstruction results, which in turn are highly sensitive to occlusion and lighting effects in the input image. DCM approach accurately produces lifelike synthesized facial sketches without the need to restore the texture information lost as a result of such unfavorable conditions.

关键词： image processing and computer vision Eigenface statistical image models face sketch synthesis

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Mobile Cosmetics Advisor: An Imaging Based Mobile Service

Mobile Cosmetics Advisor: An Imaging Based Mobile Service

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Conference on Multimedia on Mobile Devices 2010

作者： Bhatti, Nina Baker, Harlyn Chao, Hui Clearwater, Scott Harville, Mike Jain, Jhilmil Lyons, Nic Marguier, Joanna Schettino, John Suesstrunk, Sabine Hewlett Packard Labs 1501 Page Mill Dr Palo Alto CA 94304 USA Ecole Polytech Fed Lausanne LCAV Lausanne Switzerland

ISBN: (纸本)9780819479358

Selecting cosmetics requires visual information and often benefits from the assessments of a cosmetics expert. In this paper we present a unique mobile imaging application that enables women to use their cell phones to get immediate expert advice when selecting personal cosmetic products. We derive the visual information from analysis of camera phone images, and provide the judgment of the cosmetics specialist through use of an expert system. The result is a new paradigm for mobile interactions-image-based information services exploiting the ubiquity of camera phones. The application is designed to work with any handset over any cellular carrier using commonly available MMS and SMS features. Targeted at the unsophisticated consumer, it must be quick and easy to use, not requiring download capabilities or preplanning. Thus, all application processing occurs in the back-end system and not on the handset itself. We present the imaging pipeline technology and a comparison of the services' accuracy with respect to human experts.

关键词： image processing and computer vision Applications and Expert Systems Applications

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PADS: A Probabilistic Activity Detection Framework for Video Data

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2010年第12期32卷 2246-2261页

作者： Albanese, Massimiliano Chellappa, Rama Cuntoor, Naresh Moscato, Vincenzo Picariello, Antonio Subrahmanian, V. S. Udrea, Octavian Univ Maryland Inst Adv Comp Studies Dept Comp Sci College Pk MD 20742 USA Kitware Inc Clifton Pk NY 12065 USA Univ Naples Federico II Dipartimento Informat & Sistemist I-80125 Naples Italy IBM TJ Watson Res Ctr Hawthorne NY 10532 USA

There is now a growing need to identify various kinds of activities that occur in videos. In this paper, we first present a logical language called Probabilistic Activity Description Language (PADL) in which users can specify activities of interest. We then develop a probabilistic framework which assigns to any subvideo of a given video sequence a probability that the subvideo contains the given activity, and we finally develop two fast algorithms to detect activities within this framework. OffPad finds all minimal segments of a video that contain a given activity with a probability exceeding a given threshold. In contrast, the OnPad algorithm examines a video during playout (rather than afterwards as OffPad does) and computes the probability that a given activity is occurring (even if the activity is only partially complete). Our prototype Probabilistic Activity Detection System (PADS) implements the framework and the two algorithms, building on top of existing image processing algorithms. We have conducted detailed experiments and compared our approach to four different approaches presented in the literature. We show that-for complex activity definitions-our approach outperforms all the other approaches.

关键词： Applications and expert knowledge-intensive systems computer vision vision and scene understanding video analysis image processing and computer vision applications

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An Adaptable-Multilayer Fractional Fourier Transform Approach for image Registration

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2009年第3期31卷 400-413页

作者： Pan, Wei Qin, Kaihuai Chen, Yao Dartmouth Coll Dept Comp Sci Hanover NH 03755 USA Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

A novel adaptable accurate way for calculating the polar FFT and the log-polar FFT is developed in this paper, namely, Multilayer Fractional Fourier Transform ( MLFFT). MLFFT is a necessary addition to the pseudopolar FFT for the following reasons: It has lower interpolation errors in both polar and log-polar Fourier transforms, it reaches better accuracy with the nearly same computing complexity as the pseudopolar FFT, and provides a mechanism to increase the accuracy by increasing the user-defined computing level. This paper demonstrates both MLFFT itself and its advantages theoretically and experimentally. By emphasizing applications of MLFFT in image registration with rotation and scaling, our experiments suggest two major advantages of MLFFT: 1) Scaling up to 5 and arbitrary rotation angles or scaling up to 10 without rotation can be recovered by MLFFT, while, currently, the result recovered by the state-of-the-art algorithms is the maximum scaling of 4. 2) No iteration is needed to recover large rotation and scaling values of images by MLFFT;hence, it is more efficient than the pseudopolar-based FFT methods for image registration.

关键词： image processing and computer vision signal processing computation of transforms pattern matching

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Tracking by an Optimal Sequence of Linear Predictors

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2009年第4期31卷 677-692页

作者： Zimmermann, Karel Matas, Jiri Svoboda, Tomas Czech Tech Univ Fac Elect Engn Dept Cybernet Prague 12135 2 Czech Republic

We propose a learning approach to tracking explicitly minimizing the computational complexity of the tracking process subject to user-defined probability of failure (loss-of-lock) and precision. The tracker is formed by a Number of Sequences of Learned Linear Predictors (NoSLLiP). Robustness of NoSLLiP is achieved by modeling the object as a collection of local motion predictors-object motion is estimated by the outlier-tolerant RANSAC algorithm from local predictions. The efficiency of the NoSLLiP tracker stems 1) from the simplicity of the local predictors and 2) from the fact that all design decisions, the number of local predictors used by the tracker, their computational complexity (i.e., the number of observations the prediction is based on), locations as well as the number of RANSAC iterations, are all subject to the optimization (learning) process. All time-consuming operations are performed during the learning stage-tracking is reduced to only a few hundred integer multiplications in each step. On PC with 1xK8 3200+, a predictor evaluation requires about 30 mu s. The proposed approach is verified on publicly available sequences with approximately 12,000 frames with ground truth. Experiments demonstrate superiority in frame rates and robustness with respect to the SIFT detector, Lucas-Kanade tracker, and other trackers.

关键词： image processing and computer vision scene analysis tracking

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A Fast 2D Shape Recovery Approach by Fusing Features and Appearance

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2009年第7期31卷 1210-1224页

作者： Zhu, Jianke Lyu, Michael R. Huang, Thomas S. Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Hong Kong Peoples R China Univ Illinois Beckman Inst Urbana IL 61801 USA

In this paper, we present a fusion approach to solve the nonrigid shape recovery problem, which takes advantage of both the appearance information and the local features. We have two major contributions. First, we propose a novel progressive finite Newton optimization scheme for the feature-based nonrigid surface detection problem, which is reduced to only solving a set of linear equations. The key is to formulate the nonrigid surface detection as an unconstrained quadratic optimization problem that has a closed-form solution for a given set of observations. Second, we propose a deformable Lucas-Kanade algorithm that triangulates the template image into small patches and constrains the deformation through the second-order derivatives of the mesh vertices. We formulate it into a sparse regularized least squares problem, which is able to reduce the computational cost and the memory requirement. The inverse compositional algorithm is applied to efficiently solve the optimization problem. We have conducted extensive experiments for performance evaluation on various environments, whose promising results show that the proposed algorithm is both efficient and effective.

关键词： image processing and computer vision nonrigid detection real-time deformable registration nonrigid augmented reality medical image registration

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Effect of facial expressions on feature-based landmark localization in static grey scale images

Effect of facial expressions on feature-based landmark local...

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3rd International Conference on computer vision Theory and Applications

作者： Gizatdinova, Yulia Surakka, Veikko Univ Tampere TAUCHI Res Grp Emot Social & Comp Tampere 33014 Finland

ISBN: (纸本)9789898111210

The present aim was to examine the effect of facial expressions on the feature-based landmark localization in static grey scale images. In the method, local oriented edges were extracted and edge maps of the image were constructed at two levels of resolution. Regions of connected edges represented landmark candidates and were further verified by matching against the edge orientation model. The method was tested on a large database of expressive faces coded in terms of action units. Action units described single and conjoint facial muscle activations in upper and lower face. As results demonstrated, eye regions were located with high rates in both neutral and expressive datasets. Nose and mouth localization was more attenuated by variations in facial expressions. The present results specified some of the critical facial behaviours that should be taken into consideration while improving automatic landmark detectors which rely on the low-level edge and intensity information.

关键词： image processing and computer vision segmentation edge detection facial landmark localization facial expressions action units

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Natural and tangible human-computer interfaces for augmented environments 08

Natural and tangible human-computer interfaces for augmented...

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Proceedings of the 26th annual ACM international conference on Design of communication

作者： José Miguel Sales Dias Microsoft and ISCTE Lisboa Portugal

ISBN: (纸本)9781605580838

In this talk, the author will introduce Augmented Reality as a new media to improve human-computer communication and industrial processes. The author will make a special emphasis in introducing and demonstrating new human-computer interfaces appropriate for Augmented Reality, such as Tangible Interfaces and Gesture. The talk outline is as follows:Introduction to Augmented Reality - ARMixed RealityEarly Industrial AR ApplicationsAR RoadmapAR R&D at ADETTI/ISCTE 2002-2008Key Enabling Technologies for AR: Presentation Devices + Tracking + HCIPresentation in ARTracking in ARHuman-computer Interaction in ARModels of Interaction: Tangible User Interfaces - TUI vs Graphical User Interfaces - GUITangible Augmented InterfacesNatural HCI: Hand GestureOpen issues in AR and conclusions

关键词： HCI tangible interfaces gesture mixed reality feature tracking augmented realities augmented reality image processing and computer vision

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Accurate and scalable surface representation and reconstruction from images

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2007年第1期29卷 141-158页

作者： Zeng, Gang Paris, Sylvain Quan, Long Sillion, Francois Hong Kong Univ Sci & Technol Dept Comp Sci Kowloon Hong Kong Peoples R China MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA INRIA Rhone Alpes ARTIS GRAVIR IMAG F-38330 Montbonnot St Martin France

We introduce a new surface representation method, called patchwork, to extend three-dimensional surface reconstruction capabilities from multiple images. A patchwork is the combination of several patches that are built one by one. This design potentially allows for the reconstruction of an object with arbitrarily large dimensions while preserving a fine level of detail. We formally demonstrate that this strategy leads to a spatial complexity independent of the dimensions of the reconstructed object and to a time complexity that is linear with respect to the object area. The former property ensures that we never run out of storage and the latter means that reconstructing an object can be done in a reasonable amount of time. In addition, we show that the patchwork representation handles equivalently open and closed surfaces, whereas most of the existing approaches are limited to a specific scenario, an open or closed surface, but not both. The patchwork concept is orthogonal to the method chosen for surface optimization. Most of the existing optimization techniques can be cast into this framework. To illustrate the possibilities offered by this approach, we propose two applications that demonstrate how our method dramatically extends a recent accurate graph technique based on minimal cuts. We first revisit the popular carving techniques. This results in a well-posed reconstruction problem that still enjoys the tractability of voxel space. We also show how we can advantageously combine several image-driven criteria to achieve a finely detailed geometry by surface propagation. These two examples demonstrate the versatility and flexibility of patchwork reconstruction. They underscore other properties inherited from patchwork representation: Although some min-cut methods have difficulty in handling complex shapes ( e. g., with complex topologies), they can naturally manipulate any geometry through the patchwork representation while preserving their intrinsic qualities. Th

关键词： computing methodologies image processing and computer vision reconstruction and applications patchwork representation and reconstruction space carving graph-cuts level-sets patch-wise carving patch-wise propagation

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