A characteristic of the E-plane circulator is that it displays two neighbouring solutions for the first and second circulation conditions. The so-called small gap E-plane circulator was dealt with in the literature. T...
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The application of 3D stereoscopic imaging in surgery represents an innovative approach for anatomical measurements without the use of ionizing radiation or tools contacting the anatomy. Achieving precise intraoperati...
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Models of the real world are at least 3-dimensional and require the technologies of image processing and computergraphics. We see the processing of images, be they of the real world or of models in a computer, as one...
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ISBN:
(纸本)9539676924
Models of the real world are at least 3-dimensional and require the technologies of image processing and computergraphics. We see the processing of images, be they of the real world or of models in a computer, as one and the same basic technology, namely "digital visual information processing". This paper seeks to illustrate and justify this point-of-view by means of examples taken mostly from the work at the author's institute.
Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences(thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, w...
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Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences(thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance information such as consecutive images, we use two well-known approaches: structure from motion and light field rendering. Results using real image sequences show that our method can stably segment fences and preserve background details for various fence and background combinations. A new video without the fence, with frame coherence, can be successfully provided.
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorpora...
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ISBN:
(纸本)9781424469840
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorporate a low level image segmentation process in order to tackle these problems. Our new motion estimation algorithm is based on non-local total variation regularization which allows us to integrate the low level image segmentation process in a unified variational framework. Numerical results on the Middlebury optical flow benchmark data set demonstrate that we can cope with the aforementioned problems.
Image compositing is widely used to combine visual elements from separate source images into a single image. Although recent image compositing techniques are capable of achieving smooth blending of the visual elements...
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Image compositing is widely used to combine visual elements from separate source images into a single image. Although recent image compositing techniques are capable of achieving smooth blending of the visual elements from different sources, most of them implicitly assume the source images are taken in the same viewpoint. In this paper, we present an approach to compositing novel image objects from multiple source images which have different viewpoints. Our key idea is to construct 3D proxies for meaningful components of the source image objects, and use these 3D component proxies to warp and seamlessly merge components together in the same viewpoint. To realize this idea, we introduce a coordinate- frame based single-view camera calibration algorithm to handle general types of image objects, a structure-aware cuboid optimization algorithm to get the cuboid proxies for image object components with correct structure relationship, and finally a 3D-proxy transformation guided image warping algorithm to stitch object components. We further describe a novel application based on this compositing approach to automatically synthesize a large number of image objects from a set of exemplars. Experimental results show that our compositing approach can be applied to a variety of image objects, such as chairs, cups, lamps, and robots, and the synthesis application can create novel image objects with significant shape and style variations from a small set of exemplars.
Segmentation of cardiac magnetic resonance images (MRI) is crucial for the analysis and assessment of cardiac function, helping to diagnose and treat various cardiovascular diseases. Most recent techniques rely on dee...
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In this paper, we propose a computationally efficient variant of elitist covariance matrix evolution strategy for continuous local search in high dimensional space. It focuses on searching in a low-dimensional subspac...
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ISBN:
(纸本)9781728121536
In this paper, we propose a computationally efficient variant of elitist covariance matrix evolution strategy for continuous local search in high dimensional space. It focuses on searching in a low-dimensional subspace expanded by a small number of promising search directions. This leads to the linear internal computational complexity of each iteration, which enables the algorithm to scale to high dimensional problems. We conduct comprehensive experiments to evaluate the parameter sensitivity and the algorithm's performance. The experimental results validate that the proposed algorithm reduces the running time by a factor of ten, and it can be easily scaled up to n > 1000 on a set of commonly used test functions.
Co-occurrence matrices are a popular representation for the texture in images. They contain a count of the number of times that a given feature (e.g., a given gray level) occurs in a particular spatial relation to ano...
Co-occurrence matrices are a popular representation for the texture in images. They contain a count of the number of times that a given feature (e.g., a given gray level) occurs in a particular spatial relation to another given feature. However, because of the large number of spatial relations that are possible within an image, heuristic or interactive techniques have usually been employed to select the relation to use for each problem. In this paper we present a statistical approach to finding those spatial (or other) relations that best capture the structure of textures when the co-occurrence matrix representation is used. These matrices should thus be well suited for discriminations that are structurally based.
The urban data management of the outgoing 20th century shows strong emphasis in creating three-dimensional descriptions of cities, developing methods to maintain and up-date these data, and in exploiting the Web for b...
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The urban data management of the outgoing 20th century shows strong emphasis in creating three-dimensional descriptions of cities, developing methods to maintain and up-date these data, and in exploiting the Web for broad distribution and presentation. The so-called CyberCity not only shows data in three dimensions but also presents photorealistic surface description, exploiting phototexture from aerial and terrestrial images. The benefit of this high level quality is of broad appeal, which makes the CyberCity a tool for various applications, such as decision making, mission planning, simulation, training, path finding and many others. Remote and local access to the data, fast interaction and electronic links to other urban information systems turns this into a concept of a hypermedia database system, which is the unavoidable next step in improving the data for the management of our growing cities.
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