Author
Bedrich Hosticka
Other affiliations: University of Duisburg-Essen, BMW, Technical University of Dortmund ...read more
Bio: Bedrich Hosticka is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: CMOS & Image sensor. The author has an hindex of 32, co-authored 338 publications receiving 4782 citations. Previous affiliations of Bedrich Hosticka include University of Duisburg-Essen & BMW.
Topics: CMOS, Image sensor, CMOS sensor, Switched capacitor, Amplifier
Papers published on a yearly basis
Papers
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TL;DR: A new technique to analog sampled data filtering is presented which can be fully integrated using MOS technology, and advantages of this new approach are reduced circuit complexity, low sensitivity to coefficient variations, and efficient utilization of silicon area.
Abstract: A new technique to analog sampled data filtering is presented which can be fully integrated using MOS technology. Advantages of this new approach are reduced circuit complexity, low sensitivity to coefficient variations, and efficient utilization of silicon area. Performance of monolithic low Q(Q=1) and high Q(Q=73) filters are presented which were implemented using NMOS technology. In implementing the high Q filter a new operational amplifier design was used which had a 14-V output range, rms noise voltage of 45 /spl mu/V, an open-loop gain of 6000, and a unity-gain bandwidth of 2 MHz.
282 citations
TL;DR: A novel method for efficient image analysis that uses tuned matched Gabor filters that requires no a priori knowledge of the analyzed image so that the analysis is unsupervised.
Abstract: Recent studies have confirmed that the multichannel Gabor decomposition represents an excellent tool for image segmentation and boundary detection. Unfortunately, this approach when used for unsupervised image analysis tasks imposes excessive storage requirements due to the nonorthogonality of the basis functions and is computationally highly demanding. In this correspondence, we propose a novel method for efficient image analysis that uses tuned matched Gabor filters. The algorithmic determination of the parameters of the Gabor filters is based on the analysis of spectral feature contrasts obtained from iterative computation of pyramidal Gabor transforms with progressive dyadic decrease of elementary cell sizes. The method requires no a priori knowledge of the analyzed image so that the analysis is unsupervised. Computer simulations applied to different classes of textures illustrate the matching property of the tuned Gabor filters derived using our determination algorithm. Also, their capability to extract significant image information and thus enable an easy and efficient low-level image analysis will be demonstrated. >
206 citations
TL;DR: A programmable intraocular pressure sensor system implant integrated on a single CMOS chip that contains on-chip micromechanical pressure sensor array, a temperature sensor, readout and calibration electronics, a µC-based digital control unit, and an RF-transponder, thus making batteryless operation feasible.
Abstract: We present a programmable intraocular pressure sensor system implant integrated on a single CMOS chip. It contains an on-chip micromechanical pressure sensor array, a temperature sensor, readout and calibration electronics, a /spl mu/C-based digital control unit, and an RF transponder. The transponder enables wireless data transmission and wireless power reception, thus making batteryless operation feasible. The chip has been fabricated in a 1.2-/spl mu/m n-well CMOS process complemented by additional processing steps.
181 citations
TL;DR: Two feature extraction algorithms based on pyramidal and tree structured wavelet transforms are introduced and their performance is compared with the feature extraction which employs adaptive Gabor filtering.
171 citations
TL;DR: In this paper, the authors used a circuit to inject an extra bias current into a conventional source-coupled CMOS differential input stage in the presence of large differential input signals.
Abstract: The amplifier uses a circuit to inject an extra bias current into a conventional source-coupled CMOS differential input stage in the presence of large differential input signals. This measure substantially increases the slew rate of an operational amplifier for a given quiescent current. The performance of the amplifier is compared to a conventional operational amplifier when used in a sample-and-hold circuit. The maximum operating clock frequency of the sample-and-hold increases from 290 kHz to 1 MHz with a hold capacitor of 1 nF. The amplifier has been fabricated in a 5- mu m CMOS process and dissipates a static power of 7.5 mW. >
141 citations
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TL;DR: A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence, which implies a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates.
Abstract: A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris in a real-time video image is encoded into a compact sequence of multi-scale quadrature 2-D Gabor wavelet coefficients, whose most-significant bits comprise a 256-byte "iris code". Statistical decision theory generates identification decisions from Exclusive-OR comparisons of complete iris codes at the rate of 4000 per second, including calculation of decision confidence levels. The distributions observed empirically in such comparisons imply a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates. In the typical recognition case, given the mean observed degree of iris code agreement, the decision confidence levels correspond formally to a conditional false accept probability of one in about 10/sup 31/. >
3,399 citations
TL;DR: New challenges and directions in biomaterials research are discussed, including synthetic replacements for biological tissues, designing materials for specific medical applications, and materials for new applications such as diagnostics and array technologies.
Abstract: Biomaterials have played an enormous role in the success of medical devices and drug delivery systems. We discuss here new challenges and directions in biomaterials research. These include synthetic replacements for biological tissues, designing materials for specific medical applications, and materials for new applications such as diagnostics and array technologies.
2,949 citations
Proceedings Article•
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TL;DR: A scheme is developed for classifying the types of motion perceived by a humanlike robot and equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented.
Abstract: A scheme is developed for classifying the types of motion perceived by a humanlike robot. It is assumed that the robot receives visual images of the scene using a perspective system model. Equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented. >
2,000 citations
TL;DR: Most major filtering approaches to texture feature extraction are reviewed and a ranking of the tested approaches based on extensive experiments is presented, showing the effect of the filtering is highlighted, keeping the local energy function and the classification algorithm identical for most approaches.
Abstract: In this paper, we review most major filtering approaches to texture feature extraction and perform a comparative study. Filtering approaches included are Laws masks (1980), ring/wedge filters, dyadic Gabor filter banks, wavelet transforms, wavelet packets and wavelet frames, quadrature mirror filters, discrete cosine transform, eigenfilters, optimized Gabor filters, linear predictors, and optimized finite impulse response filters. The features are computed as the local energy of the filter responses. The effect of the filtering is highlighted, keeping the local energy function and the classification algorithm identical for most approaches. For reference, comparisons with two classical nonfiltering approaches, co-occurrence (statistical) and autoregressive (model based) features, are given. We present a ranking of the tested approaches based on extensive experiments.
1,567 citations