Control of welding unit positioners consists in formation of control actions for actuators, response to which would guarantee passage by a welding tool of a spacial trajectory with assigned accuracy. If such trajector...
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Although motion extraction requires high computational resources and normally produces very noisy patterns in real sequences, it provides useful cues to achieve an efficient segmentation of independent moving objects....
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ISBN:
(纸本)3540448918
Although motion extraction requires high computational resources and normally produces very noisy patterns in real sequences, it provides useful cues to achieve an efficient segmentation of independent moving objects. Our goal is to employ basic knowledge about biological vision systems to address this problem. We use the Reichardt motion detectors as first extraction primitive to characterize the motion in scene. The saliency map is noisy, therefore we use a neural structure that takes full advantage of the neural population coding, and extracts the structure of motion by means of local competition. This scheme is used to efficiently segment independent moving objects. In order to evaluate the model, we apply it to a real-life case of an automatic watch-up system for car-overtaking situations seen from the rear-view mirror. We describe how a simple, competitive, neural processing scheme can take full advantage of this motion structure for segmenting overtaking-cars.
A method for pedestrian detection from real world outdoor scenes is presented in this paper. The technique uses disparity information, ground plane estimation and biometric information based on the golden ratio. It ca...
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Greatest difficulties arise in 3D environments when we have to deal with a scene with dissimilar objects without pose restrictions and where contacts and occlusions are allowed. This work tackles the problem of corres...
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ISBN:
(纸本)9728865600
Greatest difficulties arise in 3D environments when we have to deal with a scene with dissimilar objects without pose restrictions and where contacts and occlusions are allowed. This work tackles the problem of correspondence and alignment of surfaces in such a kind of scenes. The method presented in this paper is based on a new representation model called Depth Gradient image Based on Silhouette (DGI-BS) which synthesizes object surface information (through depth) and object shape information (through contour). Recognition and pose problems are efficiently solved for all objects of the scene by using a simple matching algorithm in the DGI-BS space. As a result of this the scene can be virtually reconstructed. This work is part of a robot intelligent manipulation project. The method has been successfully tested in real experimentation environments using range sensors.
The computation of optical flow has been proposed as a preprocessing step for many high-level vision algorithms. One of the main approaches to the optical flow problem is the gradient-based approach which differentiat...
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ISBN:
(纸本)3540448918
The computation of optical flow has been proposed as a preprocessing step for many high-level vision algorithms. One of the main approaches to the optical flow problem is the gradient-based approach which differentiates the image intensity to compute the optical flow. Often motion vectors computed using various approaches are not reliable. Spatial smoothing of the image sequence is advisable in order to improve velocity estimates in the presence of noise. That is, the application of some kind of linear operation to the images in the sequence before solving for the flow. The pre-processing typically takes the form of some type of spatial Gaussian smoothing or scale specific band-pass filtering of the input images. The main objectives of such filtering have been to lessen the effects of noise, to isolate image structure of interest and to attenuate temporal aliasing and quantization effects in the input images. This paper investigates the effect of presmoothing on this computation of optical flow. The well known method of Horn and Schnuck as well as our own finite element method are implemented and tested for improvements due to presmoothing. Discussions are provided on the effects of presmoothing for a variety of image sequences. In our experiments, smoothing is carried out on a selection of well known sequences in both time and space. Improvements are shown using presmoothing.
The use of active contours for texture segmentation seems rather attractive in the recent research, indicating that such methodologies may provide more accurate results. In this paper, a novel model for texture segmen...
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For the BMBF founded project of Road-Traffic image Observation (BMBF 03WK J02B) the DLR- Institute for optical information system developed an optical based observation system for the control of roads and traffic, rea...
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ISBN:
(纸本)9806560477
For the BMBF founded project of Road-Traffic image Observation (BMBF 03WK J02B) the DLR- Institute for optical information system developed an optical based observation system for the control of roads and traffic, realized by computervision approaches. Efficient algorithms for robust and fast imageprocessing extract objects, like motor vehicles and non-motorized traffic. The computation algorithms have to be robust for day and night, They have to process the image data in real-time from the observation traffic junctions. Some of theses special algorithms are also suitable for a similar new project for airport monitoring and surveillance, with the goal in the detection of movements of planes.
Reliable image matching is important to many problems in computervision, imageprocessing and pattern recognition. Hausdorff distance and many of its variations have been employed for image matching with success. In ...
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ISBN:
(纸本)0780389328
Reliable image matching is important to many problems in computervision, imageprocessing and pattern recognition. Hausdorff distance and many of its variations have been employed for image matching with success. In this paper we propose an improved image matching method based on a modified Hausdorff distance with normalized gradient consistency measure. The proposed new image matching algorithm integrates the geometric Hausdorff distance with the photometric intensity gradient information to obtain a better image similarity measure. To show the improvement of the proposed algorithm, we test it with some previous image matching methods on the problem of face recognition under lighting changes. Experimental results show the proposed method produces more accurate face recognition than the previous methods
image editing software is often characterized by a seemingly endless array of toolbars, filters, transformations and layers. But recently, a counter trend has emerged in the field of image editing which aims to reduce...
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The Fourier transform is one of the most important transformations in imageprocessing. A major component of this influence comes from the ability to implement it efficiently on a digital computer. This paper describe...
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