Outliers are data values that lie away from the general cluster of other data values. Detecting the outliers of a dataset is an important research topic for data cleaning and finding new useful knowledge in many resea...
详细信息
A multilayer canopy scattering model is developed for mixed-species forests. The multilayer model provides a significantly enhanced representation of actual complex forest structures compared to the conventional canop...
详细信息
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspectral volumetric image data by exploit...
详细信息
In this paper an approach for reconstructing the position of an object from a pair of stereo images that allows for a fast and effective hand tracking and 3D gesture reconstruction is presented. The algorithm will ser...
详细信息
Object identification from local information has recently been investigated with respect to its potential for robust recognition, e.g., in case of partial object occlusions, scale variation, noise, and background clut...
详细信息
Object identification from local information has recently been investigated with respect to its potential for robust recognition, e.g., in case of partial object occlusions, scale variation, noise, and background clutter in detection tasks. This work contributes to this research by a thorough analysis of the discriminative power of local appearance patterns and by proposing to exploit local information content for object representation and recognition. In a first processing stage, we localize discriminative regions in the object views from a posterior entropy measure, and then derive object models from selected discriminative local patterns. Object recognition is then applied to test patterns with associated low entropy using an efficient voting process. The method is evaluated by various degrees of partial occlusion and Gaussian image noise, resulting in highly robust recognition even in the presence of severe occlusion effects.
In this paper we introduce and describe a novel generic and semiconductor-technology independent hardware development environment for a class of statistical signal- and imageprocessing models. The statistical signal-...
详细信息
In this paper we introduce and describe a novel generic and semiconductor-technology independent hardware development environment for a class of statistical signal- and imageprocessing models. The statistical signal- and imageprocessing approach under consideration formally adopts the Bayesian paradigm and uses discrete Markov Random Field (MRF) methods for the processing models to derive the joint distribution of signal- and image-processing problems by means of mathematically and computationally tractable conditional distributions. We experimentally demonstrate and prove the capabilities respectively the concepts of the proposed novel high-level design environment by detailed chip-layouts of different neighbourhood topologies and a single processing element of a MRF- architecture, which solves the imageprocessing problem of noise removing, restoration and intensity-level preserving.
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-dimensional set partitioned embedded block (3D-SPECK) efficiently encodes, hyperspectral volumetric image data by explo...
详细信息
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-dimensional set partitioned embedded block (3D-SPECK) efficiently encodes, hyperspectral volumetric image data by exploiting the dependencies in all dimensions. Integer wavelet transform is applied to enable lossy and lossless decompression from the same bit stream. We demonstrate that 3D-SPECK, a wavelet domain algorithm, like other time domain algorithms, can preserve spectral profiles well. Airborne visible infrared imaging spectrometer (AVIRIS) imagery is used to test the proposed algorithm. Results show that 3D-SPECK, in addition to being very flexible, retains all the desirable features of compared state-of-the-art algorithms and is highly competitive to 3D-SPIHT and better than JPEG2000 multi-component in compression efficiency.
In this paper we introduce and describe a generic and semiconductor-technology independent hardware development environment for a class of statistical signal- and imageprocessing models. The statistical signal- and i...
详细信息
In this paper we introduce and describe a generic and semiconductor-technology independent hardware development environment for a class of statistical signal- and imageprocessing models. The statistical signal- and imageprocessing approach under consideration formally adopts the Bayesian paradigm and uses discrete Markov random field (MRF) models for the processing models to derive the joint distribution of signal- and imageprocessing problems by means of mathematically and computationally tractable conditional distributions. We experimentally demonstrate and prove the capabilities respectively the concepts of the proposed high-level design environment by detailed chip layouts of different neighbourhood topologies and a single processing element of a MRF-architecture, which solves the imageprocessing problem of noise removing, restoration and intensity-level preserving.
Purpose. We set out to enhance the imaging of stents used for coronary coarctation surgery without imaging the reticulation of the stent. Because the stent is a reticulated structure, there is a relation between ultra...
详细信息
This paper describes a method to integrate VR interfaces on 3D display for multiuser game environments, which addresses the problem of synchronization and calibration multiple devices together to treat game events. Th...
详细信息
暂无评论