The problem of deciding whether two pixels in an image have the same real world color is a fundamental problem in computer vision. Many color spaces are used in different applications for discriminating color from int...
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ISBN:
(纸本)0769521584
The problem of deciding whether two pixels in an image have the same real world color is a fundamental problem in computer vision. Many color spaces are used in different applications for discriminating color from intensity to create an informative representation of color The major drawback of all of these representations is that they assume no color distortion. In practice the colors of real world images are distorted both in the scene itself and in the image capturing process. In this work we introduce Color Lines, an image specific color representation that is robust to color distortion and provides a compact and useful representation of the colors in a scene.
Two important problems in camera control are how to keep a moving camera fixated on a target point: and how to precisely aim a camera, whose approximate pose is known, towards a given 3D position. This paper describes...
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ISBN:
(纸本)0818684976
Two important problems in camera control are how to keep a moving camera fixated on a target point: and how to precisely aim a camera, whose approximate pose is known, towards a given 3D position. This paper describes how electronic image alignment techniques can, be used to solve these problems, as well as provide other benefits such as stabilized video. Hence, stabilized fixated imagery is obtained despite large latencies in the control loop, even Sor simple control strategies. These techniques have been tested using an airborne camera and real-time affine image alignment.
Recently, deep neural networks have been widely used to approximate or improve image operators. In general, an image operator has some hyper-parameters that change its operating configurations, e.g., the strength of s...
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ISBN:
(纸本)9781728125060
Recently, deep neural networks have been widely used to approximate or improve image operators. In general, an image operator has some hyper-parameters that change its operating configurations, e.g., the strength of smoothing, up-scale factors in super-resolution, or a type of image operator. To address varying parameter settings, an image operator taking such parameters as its input, namely a parameterized image operator, is an essential cue in imageprocessing. Since many types of parameterization techniques exist, a comparative analysis is required in the context of imageprocessing. In this paper, we therefore analytically explore the operation principles of these parameterization techniques and study their differences. In addition, performance comparisons between image operators parameterized by using these methods are assessed experimentally on common imageprocessing.tasks including image smoothing, denoising, deb locking, and super-resolution.
A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so ...
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A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so is offered by the use of our general categorical formalization of patternrecognition.
Simulation results are presented for motion compensated hybrid transform/DPCM image coders using coefficient-recursive displacement estimation. computer simulations on two typical real-life sequences of frames show th...
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Simulation results are presented for motion compensated hybrid transform/DPCM image coders using coefficient-recursive displacement estimation. computer simulations on two typical real-life sequences of frames show that displacement based (motion compensated) coefficient prediction results in coder bit rates that are 20 to 40 percent lower than conventional interframe transform coders using 'frame difference of coefficients'.
The adaptive image filtering considered in this study includes a Kalman filter for noisy image enchancement and a generalized likelihood ratio technique to detect and estimate the jumps corresponding to object boundar...
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The adaptive image filtering considered in this study includes a Kalman filter for noisy image enchancement and a generalized likelihood ratio technique to detect and estimate the jumps corresponding to object boundaries. The filter is adjusted when the jump is detected. When the transition matrix of the filter is unknown, it is determined by a method of simultaneous on-line estimation of parameters and states. Both the mathematical analysis and computer results are presented in detail. The procedures involved are highly effective and flexible, and computationally efficient.
A description is given of a general automatic, region based image segmentation technique. This technique is based on a simple thresholding procedure applied recursively to obtain a complete segmentation. The results o...
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A description is given of a general automatic, region based image segmentation technique. This technique is based on a simple thresholding procedure applied recursively to obtain a complete segmentation. The results on the test image are presented and discussed.
The use of a heterogeneous multiple-SIMD (M-SIMD) architecture with image-based measurements and optimal (Kalman) estimators for the analysis of image sequences is illustrated. The architecture integrates SIMD and MIM...
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We present a novel interactive system and its user interface for removing objects in digital pictures. Our system consists of two components: (i) (partially supervised/automatic) image segmentation (2], and (ii) (guid...
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ISBN:
(纸本)0769523722
We present a novel interactive system and its user interface for removing objects in digital pictures. Our system consists of two components: (i) (partially supervised/automatic) image segmentation (2], and (ii) (guided) texture synthesis [3].
Several graphic techniques are presented which are useful for evaluating certain types of clustering algorithms. Some of the techniques require only a plotter, while others require interactive graphics capabilities. T...
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Several graphic techniques are presented which are useful for evaluating certain types of clustering algorithms. Some of the techniques require only a plotter, while others require interactive graphics capabilities. The techniques are illustrated using three different clustering algorithms and four different data sets.
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