CMOS imager with embedded analog early image processor
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image processing CMOS imager↗
Engineering topics
Perona, P.
Publications and source records attributed to Perona, P..
An Intelligent Vision-only Operator Interface for Dexterous Robots
This paper describes the development of a vision-only intelligent interface for dexterous robots capable of tracking operator motions, analyzing trajectory feasibility, and providing visual feedback to the operator.
robots↗
Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection
Users of digital image libraries are often not interested in image data per se but in derived products such as catalogs of objects of interest. Converting an image database into a usable catalog is typically carried out manually at present. For many larger image databases the purely manual approach is completely impractical. In this paper we describe the development of a trainable cataloging system: the user indicates the location of the objects of interest for a number of training images and the system learns to detect and catalog these objects in the rest of the database. In particular we describe the application of this system to the cataloging of small volcanoes in radar images of Venus. The volcano problem is of interest because of the scale (30,000 images, order of 1 million detectable volcanoes), technical difficulty (the variability of the volcanoes in appearance) and the scientific importance of the problem. The problem of uncertain or subjective ground truth is of fundamental importance in cataloging problems of this nature and is discussed in some detail. Experimental results are presented which quantify and compare the detection performance of the system relative to human detection performance. The paper concludes by discussing the limitations of the proposed system and the lessons learned of general relevance to the development of digital image libraries.
digital image libraries, trainable cataloging↗
Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth
Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft. Planetary scientists are interested in automatically cataloging the locations of all the small volcanoes in this data set; however, the problem is very difficult and cannot be performed with perfect reliability even by human experts. Thus, training and evaluating the performance of an automatic algorithm on this data set must be handled carefully. We discuss the use of weighted free-response receiver-operating characteristics (wFROC) for evaluating detection performance when the ground truth is subjective.
Venus Magellan remote sensing image analysis autom↗
A Trainable Tool for Finding Small volcanoes in SAR Imagery of Venus
Volcanoes appearing in SAR images of the surface of Venus are reliably detected and located automatically by a system designed to handle general visual pattern recognition problems.
Venus volcanism SAR images of Venus SAR imagery pa↗