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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

1996

California Polytechnic State University, San Luis Obispo

Electrical and Computer Engineering

Articles 1 - 5 of 5

Full-Text Articles in Engineering

Real-Time Range Image Segmentation Using Adaptive Kernels And Kalman Filtering, Fred W. Depiero, Mohan M. Trivedi Aug 1996

Real-Time Range Image Segmentation Using Adaptive Kernels And Kalman Filtering, Fred W. Depiero, Mohan M. Trivedi

Electrical Engineering

Segmentation is a fundamental process affecting the overall quality and utility of a machine vision system. Range Profile Tracking (RPT) is a systematic approach for stable, accurate and high speed segmentation of range images that is based on Kalman filtering. Tests of RPT have produced stable decompositions of second order surfaces bounded by jump and crease discontinuities, having a volumetric error of a few percent, in under 6 sec. for a wide variety of conditions. Results from over 900 tests on synthetic scenes and 150 real range images are presented.


Simple Rail-To-Rail Constant-Transconductance Input Stage Operating In Strong Inversion, Vladimir I. Prodanov, Michael M. Green Aug 1996

Simple Rail-To-Rail Constant-Transconductance Input Stage Operating In Strong Inversion, Vladimir I. Prodanov, Michael M. Green

Electrical Engineering

A CMOS op-amp input and gain stage suitable for low voltage operation are introduced. The input stage operates in strong inversion and has common-mode range beyond rail-to-rail. It uses two complementary differential pairs connected in parallel. The common-mode dependent current biasing employs only four transistors, does not require additional voltage references, current switches and/or current mirrors and does not increase the minimum required supply voltage. The variation of the net transconductance is approximately 15% over the entire common-mode range. The gain-stage has constant output resistance. In addition it reduces the variation of the net transconductance due to variations in μn/μp …


Graph Matching Using A Direct Classification Of Node Attendance, Fred Depiero, Mohan Trivedi, Steve Serbin Jun 1996

Graph Matching Using A Direct Classification Of Node Attendance, Fred Depiero, Mohan Trivedi, Steve Serbin

Electrical Engineering

An algorithm has been developed that finds isomorphisms between both graphs and subgraphs. The development is introduced in the object recognition problem domain. The method isolates matching subgraphs, finds a node-to-node mapping and reorders nodes, thus permitting a direct comparison to be made between the resultant graphs. The algorithm is of polynomial order. It yields approximate results, maintaining a performance level for subgraph isomorphisms at or above 95% under a wide variety of conditions and with varying levels of noise. The performance on the full size comparisons associated with graph isomorphisms has been found to be 100/100, also under a …


Cmos Current Mirrors With Reduced Input And Output Voltage Requirements, Vladimir I. Prodanov, Michael M. Green Jan 1996

Cmos Current Mirrors With Reduced Input And Output Voltage Requirements, Vladimir I. Prodanov, Michael M. Green

Electrical Engineering

A CMOS current mirror with lower than VDS(sat) input voltage requirement is presented. It is shown that the structure can be modified to provide cascode-type output resistance for output voltages even lower than 2 VDS(sat). The topology of the proposed current mirror allows low distortion operation from a single 1.5V supply, which makes it attractive for low-voltage applications.


3-D Computer Vision Using Structured Light: Design, Calibration, And Implementation Issues, Fred W. Depiero, Mohan M. Trivedi Jan 1996

3-D Computer Vision Using Structured Light: Design, Calibration, And Implementation Issues, Fred W. Depiero, Mohan M. Trivedi

Electrical Engineering

Structured light (SL) sensing is a well-established method of range acquisition for computer vision. We provide thorough discussions of design issues, calibration methodologies, and implementation schemes for SL sensors. The challenges for SL sensor development are described and a range of approaches are surveyed. A novel SL sensor, PRIME, the PRofile Imaging ModulE recently has been developed and is used as a design example in the detailed discussions.