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ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： M. Harville B. Culbertson I. Sobel D. Gelb A. Fitzhugh D. Tanguay Hewlett Packard Laboratories Palo Alto CA USA

We describe a novel, practical method to create largescale, immersive displays by tiling multiple projectors on curved screens. Calibration is performed automatically with imagery from a single uncalibrated camera, without requiring knowledge of the 3D screen shape. Composition of 2D-mesh-based coordinate mappings, from screen-tocamera and from camera-to-projectors, allows image distortions imposed by the screen curvature and camera and projector lenses to be geometrically corrected together in a single non-parametric framework. For screens that are developable surfaces, we show that the screen-to-camera mapping can be determined without some of the complication of prior methods, resulting in a display on which imagery is undistorted, as if physically attached like wallpaper. We also develop a method of photometric calibration that unifies the geometric blending, brightness scaling, and black level offset maps of prior approaches. The functional form of the geometric blending is novel in itself. The resulting method is more tolerant of geometric correction imprecision, so that visual artifacts are significantly reduced at projector edges and overlap regions. Our efficient GPUbased implementation enables a single PC to render multiple high-resolution video streams simultaneously at frame rate to arbitrary screen locations, leaving the CPU largely free to do video decompression and other processing.

关键词： Photometry Large screen displays Cameras Calibration Brightness computer vision computer displays Laboratories Shape Lenses

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Development of an automatic quantification method for cancer tissue microarray study

Development of an automatic quantification method for cancer...

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Annual International conference of the ieee Engineering in Medicine and Biology society (EMBC)

作者： Teresa H. Sanders Todd H. Stokes Richard A. Moffitt Qaiser Chaudry R. Mitchell Parry May D. Wang Electrical and Computer Engineering Department Georgia Institute of Technology Atlanta GA USA Biomedical Engineering Department of Georgia Institute of Technology Emory University Atlanta GA USA

Clinical histopathology is based on the analysis of immunohistochemistry (IHC) stained tissue images. Selection of antibodies for detecting the presence, type, and grade of cancerous tissue has a great influence on the diagnostic potential of IHC tests. Automated evaluation methods for tissue microarrays applied to many combinations of antibody and tissue type can speed development of new clinical assays. We present an automatic method that successfully quantifies stain intensity, fraction of cells stained and sub-cellular location of staining in tissue microarray images. The method combines an opponent color preprocessor and a novel statistical approach for identifying brown and blue staining, followed by multilevel morphological processing. We verify the capability of our method by comparing the results to manually annotated image databases. We also demonstrate cross-tissue robustness using two clinical case study data.

关键词： Cancer Biological tissues image databases Humans Biomedical engineering USA Councils Pixel pattern recognition Guidelines image analysis

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Rapid object detection using a boosted cascade of simple features

Rapid object detection using a boosted cascade of simple fea...

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conference on computer Vision and pattern recognition (CVPR)

作者： P. Viola M. Jones Mitsubishi Electric Research Laboratories Inc. Cambridge MA USA Compaq Cambridge Research Laboratory Cambridge MA USA

ISBN: (纸本)0769512720

This paper describes a machine learning approach for visual object detection which is capable of processing.images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called the "integral image" which allows the features used by our detector to be computed very quickly. The second is a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields extremely efficient classifiers. The third contribution is a method for combining increasingly more complex classifiers in a "cascade" which allows background regions of the image to be quickly discarded while spending more computation on promising object-like regions. The cascade can be viewed as an object specific focus-of-attention mechanism which unlike previous approaches provides statistical guarantees that discarded regions are unlikely to contain the object of interest. In the domain of face detection the system yields detection rates comparable to the best previous systems. Used in real-time applications, the detector runs at 15 frames per second without resorting to image differencing or skin color detection.

关键词： Object detection Face detection Pixel Detectors Filters Machine learning image representation Focusing Skin Robustness

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Identifying painters from color profiles of skin patches in painting images

Identifying painters from color profiles of skin patches in ...

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ieee International conference on image processing

作者： I. Widjaja W.K. Leow Fang-Cheng Wu Dept. of Computer Science National University of Singapore Singapore Institute of Art Studies National Central University Taiwan Taiwan

Research on digital analysis of painting images has received very little attention. The exact nature of scientific methods seems to be antithesis of art. Nevertheless, several papers have proposed methods to bridge this gap and have obtained interesting results. In fact, some art theorists have pointed out the usefulness of specific quantifiable features in the paintings. This paper presents a method for identifying painters using color profiles of skin patches in painting images. Various color models for representing the color profiles were explored. Various implementations of multiclass support vector machine classfiiers were compared. We found that a weighted combination of several directed acyclic graph SVMs with Gaussian kernels gives the best classification performance.

关键词： Skin Painting Support vector machines Data mining pattern recognition Voting Interpolation Testing Computational Intelligence society Kernel

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Feature Corrective Transfer Learning: End-to-End Solutions to Object Detection in Non-Ideal Visual Conditions

Feature Corrective Transfer Learning: End-to-End Solutions t...

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ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Chuheng Wei Guoyuan Wu Matthew J. Barth University of California Riverside

ISBN: (数字)9798350365474

ISBN: (纸本)9798350365481

A significant challenge in the field of object detection lies in the system’s performance under non-ideal imaging conditions, such as rain, fog, low illumination, or raw Bayer images that lack ISP processing. Our study introduces ‘Feature Corrective Transfer Learning’, a novel approach that leverages transfer learning and a bespoke loss function to facilitate the end-to-end detection of objects in these challenging scenarios without the need to convert non-ideal images into their RGB counterparts. In our methodology, we initially train a comprehensive model on a pristine RGB image dataset. Subsequently, non-ideal images are processed by comparing their feature maps against those from the initial ideal RGB model. This comparison employs the Extended Area Novel Structural Discrepancy Loss (EANSDL), a novel loss function designed to quantify similarities and integrate them into the detection loss. This approach refines the model’s ability to perform object detection across varying conditions through direct feature map correction, encapsulating the essence of Feature Corrective Transfer Learning. Experimental validation on variants of the KITTI dataset demonstrates a significant improvement in mean Average Precision (mAP), resulting in a 3.8-8.1% relative enhancement in detection under non-ideal conditions compared to the baseline model, and a less marginal performance difference within 1.3% of the mAP@[0.5:0.95] achieved under ideal conditions by the standard Faster RCNN algorithm.

关键词： Visualization computer vision Accuracy Computational modeling Surveillance Transfer learning Imaging

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3D model generation for cities using aerial photographs and ground level laser scans

3D model generation for cities using aerial photographs and ...

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conference on computer Vision and pattern recognition (CVPR)

作者： C. Fruh A. Zakhor Video and Image Processing Laboratory University of California Berkeley USA Army Research Office USA

ISBN: (纸本)0769512720

In this paper we describe techniques for 3D textured model construction of urban areas using acquisition devices such as intensity cameras, as well as 2D laser scanner. Our experimental set up consists of a truck equipped with one camera and two fast, inexpensive 2D laser scanner, traveling on city streets under normal traffic conditions. The horizontal laser scans are used to determine the approximate component of motion along the movement of the acquisition vehicle. The vertical scanner is used to build 3D models of the facade of the buildings. To improve the accuracy of localization of the truck and hence our resulting 3D models of the city, two different methods are developed and compared: the first method employs a correlation technique and the second method is based on Markov Monte Carlo localization. Both techniques use digital road maps and aerial photographs in conjunction with laser scans. A fairly accurate textured, 3D model of downtown area has been acquired in a matter of few minutes, limited only by traffic conditions during the data acquisition phase.

关键词： Cities and towns Laser modes Cameras Data acquisition Traffic control Vehicles Roads Remote monitoring Global Positioning System image processing

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Three-dimensional medial shape representation incorporating object variability

Three-dimensional medial shape representation incorporating ...

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conference on computer Vision and pattern recognition (CVPR)

作者： M. Styner G. Gerig Department of Computer Science University of North Carolina Chapel Hill NC USA

ISBN: (纸本)0769512720

The paper presents a novel processing.scheme for the automatic computation of a medial shape model which is representative for an object population with shape variability. The sensitivity of medial descriptions to object variations and small boundary perturbations are fundamental problems of any skeletonization technique. These problems are approached with the computation of a model with common medial branching topology and grid sampling. This model is then used for a medial shape description of individual objects via a constrained model fit. The process starts from parametric 3D boundary representations with existing point-to-point homology between objects. The Voronoi diagram of each sampled object boundary is grouped into medial sheets and simplified by a pruning algorithm using a volumetric contribution criterion. Medial sheets are combined to form a common medial branching topology. Finally, the medial sheets are sampled and represented as meshes of medial primitives. We present new results on populations of up to 184 biological objects. For these objects, the common medial branching topology is described by a small number of sheets. Despite the coarse medial sampling, a close approximation of individual objects is achieved.

关键词： Shape Topology Sampling methods Data mining Skeleton computer science Grid computing Computational modeling image sampling computer vision

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Simultaneous linear estimation of multiple view geometry and lens distortion

Simultaneous linear estimation of multiple view geometry and...

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conference on computer Vision and pattern recognition (CVPR)

作者： A.W. Fitzgibbon Department of Engineering Science University of Oxford Oxford UK

ISBN: (纸本)0769512720

A problem in uncalibrated stereo reconstruction is that cameras which deviate from the pinhole model have to be pre-calibrated in order to correct for nonlinear lens distortion. If they are not, and point correspondence is attempted using the uncorrected images, the matching constraints provided by the fundamental matrix must be set so loose that point matching is significantly hampered. This paper shows how linear estimation of the fundamental matrix from two-view point correspondences may be augmented to include one term of radial lens distortion. This is achieved by (1) changing from the standard radial-lens model to another which (as we show) has equivalent power, but which takes a simpler form in homogeneous coordinates, and (2) expressing fundamental matrix estimation as a quadratic eigenvalue problem (QEP), for which efficient algorithms are well known. I derive the new estimator, and compare its performance against bundle-adjusted calibration-grid data. The new estimator is fast enough to be included in a RANSAC-based matching loop, and we show cases of matching being rendered possible by its use. I show how the same lens can be calibrated in a natural scene where the lack of straight lines precludes most previous techniques. The modification when the multi-view relation is a planar homography or trifocal tensor is described.

关键词： Geometry Lenses Nonlinear distortion Transmission line matrix methods Stereo image processing image reconstruction Cameras Eigenvalues and eigenfunctions Layout Tensile stress

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Production of MusicXML from Locally Inclined Sheet-music Photo image by Using Measure-based Multi-modal Deep-learning-driven Assembly Method

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Transactions of the Japanese society for Artificial Intelligence 2023年第3期38卷

作者： Shishido, Tomoyuki Fati, Fehmiju Tokushige, Daisuke Ono, Yasuhiro Kumazawa, Itsuo Biomedical AI Research Unit Tokyo Institute of Technology Shishido&Associates Japan SK Intellectual Property Law Firm Japan Enspirea LLC Japan Laboratory for Future Interdisciplinary Research of Science and Technology Tokyo Institute of Technology Japan

Deep learning has been applied to optical music sheet recognition (OMR). However, OMR processing.from various sheet-music images still lacks precision to be widely applicable. We propose a measure-based multimodal deep-learning-driven assembly (MMdA) method enabling end-to-end OMR processing.from various images including inclined photo images. Using this method, measures are extracted using a deep-learning model, aligned, and resized to be used for inference of given musical-symbol components by using multiple deep-learning models in sequence or in parallel. The use of each standardized measure enables efficient training of the deep-learning models and accurate adjustment of five staff lines in each measure, which enables locally inclined sheet-music images to be precisely positioned. Thus, a score can be reproduced from the inclined image with the proposed MMdA method while current OMR applications cannot. Multiple musical-symbol-component deep-learning feature-category models with a small number of feature types can represent a diverse set of notes and other musical symbols including chords. The proposed MMdA method provides a solution to end-to-end OMR processing.and enhances the utility of OMR of mobile phone-based sheet-music photo images. © 2023, Japanese society for Artificial Intelligence. All rights reserved.

关键词： Music

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ieee conference ON DECISION AND CONTROL, SYMPOSIUM ON ADAPTIVE PROCESSES, 11TH, proceedings, 1972.

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1972年

作者： Milhorn Jr., H.T. Reynolds, W.J. Mishra, Nirmal K. Meyer, Andrew U. Lourenco, Ruy V. Rosen, Arthur L. Borovetz, Harvey S. Weissman, Michael H. Wang, Robert C. Calvert, Thomas W. Cooper, J.Phillip Fischer, Stanley Shupp, Franklin R. von zur Muehlen, Peter

A wide variety of topics are discussed in the 179 papers comprising the proceedings including: modeling and identification of physiological systems, microeconomics, system identification and time series analysis, image processing. linear systems, estimation of distributed parameter systems, modern pattern recognition , the status of stability theory, control theory applications to economics, numerical methods, games and minimax problems, estimation, geophysical data processing. adaptive estimation, application of modern control techniques to problems in manned-vehicle analysis, digital and nonlinear systems, computational problems in large-scale systems, learning control, minimax problems and differential games, distributed and hereditary systems, identification, transportation and applications of system theory, optimal control, future directions of society system engineering education, new directions in system science and engineering, input-output analysis in environmental management, Walsh functions, transportation systems, stochastic control systems, air traffic control, pattern recognition in biomedical research, adaptive control, and urban economics. Following is a list of titles and authors: Digital computer Studies of Respiratory Control. By H. T. Milhorn, Jr. and W. J. Reynolds. Dynamics of the Diaphragm in the Control of Respiration. By Nirmal K. Mishra, Andrew U. Meyer, Ruy V. Lourenco and Arthur L. Rosen. Mathematical Model of Muscular Respiratory Dynamics. By Harvey S. Borovetz and Michael H. Weissman. Model to Predict Respiration from VCG Measurements. By Robert C. Wang and Thomas W. Calvert. Stabilization Policy in the St. Louis Econometric Model. By J. Phillip Cooper and Stanley Fischer. Optimal Control, Uncertainty and a Temporary Incomes Policy. By Franklin R. Shupp. Optimal Price Adjustment: Tests of a Price Equation in U. S. Manufacturing. By Peter von zur Muehlen

关键词： DECISION THEORY AND ANALYSIS

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