Simulated based network design is a powerful technique in vision metrology systems (VMS) to automate camera placement process. Relatively expensive and time-consuming process of building 3D simulated CAD model is the ...
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ISBN:
(纸本)0769521274
Simulated based network design is a powerful technique in vision metrology systems (VMS) to automate camera placement process. Relatively expensive and time-consuming process of building 3D simulated CAD model is the main drawback of this technique which causes to do not be practically attended by users. In this paper, a new visibility prediction analysis using artificial neural network (ANN) is proposed. This flexible and reliable method can be installed in intelligent cameras to predict the visibility of weak points during imaging in order to suggest the best position and situation of next camera station. Our primary tests on a complex network demonstrated high capability of the proposed method.
The largest single feature on a mammogram is the skin-air interface, or breast contour. Extraction of the breast contour is useful for a number of reasons. Foremost it allows the search for abnormalities to be limited...
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ISBN:
(纸本)0769521274
The largest single feature on a mammogram is the skin-air interface, or breast contour. Extraction of the breast contour is useful for a number of reasons. Foremost it allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. Segmentation of the breast-region from the background is made difficult by the tapering nature of the breast, such that the breast contour lies in between the soft-tissue and the non-breast region. This paper explores the application of snakes to the problem of automatically extracting the breast region in mammograms.
In this paper, we propose an iterative method of 3D location of 2D parallelogram or 3D parallelepiped shapes by monocular vision from a single image. The method we propose assumes that the camera is calibrated and tha...
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ISBN:
(纸本)0769521274
In this paper, we propose an iterative method of 3D location of 2D parallelogram or 3D parallelepiped shapes by monocular vision from a single image. The method we propose assumes that the camera is calibrated and that the size of the polygonal object is known. The 3D location is obtained in the following way. First we try to find the orientation of a geometric model of the object imaged such that they share the same vanishing points. This property known as "involution" in the 17(th) century insures that the model and the object have the same orientation. Moreover this property in invariant to translation. This greatly simplifies the location problem by allowing to decouple rotation and translation assessments. The method is illustrated and tested with real scene images.
The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. This paper describes ongoing research to include attention to motion stimuli within the model. The effort is unique becau...
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ISBN:
(纸本)0769521274
The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. This paper describes ongoing research to include attention to motion stimuli within the model. The effort is unique because it seems that no past model presents a motion hierarchy plus attention to motion. We propose a biologically realistic model of the primate visual motion system attempting to explain how a hierarchical feed-forward network consisting of layers representing cortical areas V 1, MT, Mst, and 7a detects and classifies different kinds of motion patterns. The stM model is then integrated into this hierarchy demonstrating that successfully attending to motion patterns results in localization (segmentation) and labeling of those patterns.
The output signals of inertial sensors and a camera are used to realise a pen-like human-computer interface with six degrees of freedom. The pen-like interface works over planar structured surfaces. The pose estimatio...
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ISBN:
(纸本)0769521274
The output signals of inertial sensors and a camera are used to realise a pen-like human-computer interface with six degrees of freedom. The pen-like interface works over planar structured surfaces. The pose estimation with a monocular camera has a high uncertainty on the rotation if the surface is unknown and no pre-known markers are used. A hybrid pose estimation method is used to improve accuracy. From output signals of three orthogonally placed accelerometers the absolute 2D tilt of the pen-like interface with respect to the gravitational field is calculated. This 2D rotation information is used to improve the robustness of the pose estimation using a modified homography calculation. Utilising three-dimensional detection of the pen's pose several applications are possible, e.g. ergonomic human-computer interfaces in 6D, image mosaicing applications or devices for handwriting input.
Content-aware watermarks represent a new generation of digital watermarks where the contents of the image are taken into account at both embedding and detection times. In this paper, we present a performance analysis ...
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ISBN:
(纸本)0769521274
Content-aware watermarks represent a new generation of digital watermarks where the contents of the image are taken into account at both embedding and detection times. In this paper, we present a performance analysis of a content-aware watermarking algorithm in terms of its impact on the perceptual quality of watermarked images using three different metrics. We also discuss the additional complexity involved in content-aware processing. Finally, based on our simulation results, we propose methods for achieving a better trade-off between watermark robustness and perceptual quality.
We present a system that detects people in indoor scenes by modeling the motion history of foreground blobs, rather than their shape or appearance. The system tracks all foreground blobs over time with a multi-hypothe...
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ISBN:
(纸本)0769521274
We present a system that detects people in indoor scenes by modeling the motion history of foreground blobs, rather than their shape or appearance. The system tracks all foreground blobs over time with a multi-hypothesis tracker, and considers a blob to be a person if it exhibited sufficient autonomous movement in the course of its tracking history. This way, people can be correctly classified even if they are seen in a wide range of body poses, if they remain still for a long time, or if they change appearance by taking off a coat. Evaluation on over 1h of video demonstrated good performance for both heuristic and decision tree based classification.
A stereo vision Linear Triangulation (LT) algorithm can be utilized in space robotics assembly operations. The LT algorithm recovers the relative orientation and translation (pose) of objects marked with high contrast...
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ISBN:
(纸本)0769521274
A stereo vision Linear Triangulation (LT) algorithm can be utilized in space robotics assembly operations. The LT algorithm recovers the relative orientation and translation (pose) of objects marked with high contrast targets using two or more pinhole charge-coupled device (CCD) cameras. The cameras view a set (including a disjoint set) of targets measured with respect to the same point in space. This study evaluates the theoretical accuracy of the LT algorithm, its benefits and performance. The introduction of a third camera into the vision system envelope is also examined and discussed. Experiments indicated that most accuracy in pose estimation is gained by the first 15-25 degrees of camera separation, and then the decrease in values of the covariance matrix elements stabilizes. We compare the numerical data for singe, two-camera and three-camera cases using extensive experiments on simulated images.
We report on the computation of 3D volumetric optical flow on gated MRI datasets. We extend the 2D least squares and regularization approaches of Lucas and Kanade and Horn and Schunck and show flow fields (as XY and X...
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ISBN:
(纸本)0769521274
We report on the computation of 3D volumetric optical flow on gated MRI datasets. We extend the 2D least squares and regularization approaches of Lucas and Kanade and Horn and Schunck and show flow fields (as XY and XZ 2D flows) for a beating heart. The flow not only can capture the expansion and contraction of various parts of the heart motion but also can capture the twisting motion of the heart.
We propose a method of expression learning by imitating the process of a baby's learning process. A baby cannot know what an expression means but he/she can be affected by the action that people do to him or her, ...
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ISBN:
(纸本)0769521274
We propose a method of expression learning by imitating the process of a baby's learning process. A baby cannot know what an expression means but he/she can be affected by the action that people do to him or her, and then he/she remembers this facial expression. In our system, a robotstarts learning facial expression by recognizing human actions. Our system detects the face regions and extracts the facial features using four direction features: horizontal, vertical and diagonally in both directions. Previously we used skin-color information for face detection, but this is weak in some environments. So we detect facial regions using template matching this time. We experimented facial expressions recognition compared both methods of face detection. Consequently, the rate of recognition of expression rose in proportion to the amount of data used for learning in both methods.
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