Conventional wisdom says that in order to produce high-quality simplified polygonal models, one must retain and use information about the original model during the simplification process. We demonstrate that excellent...
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Conventional wisdom says that in order to produce high-quality simplified polygonal models, one must retain and use information about the original model during the simplification process. We demonstrate that excellent simplified models can be produced without the need to compare against information from the original geometry while performing local changes to the model. We use edge collapses to perform simplification, as do a number of other methods. We select the position of the new vertex so that the original volume of the model is maintained and we minimize the per-triangle change in volume of the tetrahedra swept out by those triangles that are moved. We also maintain surface area near boundaries and minimize the per-triangle area changes. Calculating the edge collapse priorities and the positions of the new vertices requires only the face connectivity and the the vertex locations in the intermediate model. This approach is memory efficient, allowing the simplification of very large polygonal models, and it is also fast. Moreover, simplified models created using this technique compare favorably to a number of other published simplification methods in terms of mean geometric error.
One of the challenges facing computer vision systems used in space is the presence of specular surfaces. Such surfaces lead to several adverse effects such as the creation of reflected "virtual" images of ob...
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One of the challenges facing computer vision systems used in space is the presence of specular surfaces. Such surfaces lead to several adverse effects such as the creation of reflected "virtual" images of objects due to specular reflections. These effects may lead to incorrect measurements and loss of data in the case of sensor saturation or inadequate intensity of the returned laser beams in the case of an active illuminant. In addition, the instruments inside space structures such as satellites may be extremely sensitive to active illuminants such as laser beams or radar signals, and thus passive vision systems which rely on either natural or low-power projection systems are preferred over active sensing technologies. Here we consider the task of recovering the local surface structure of highly specular surfaces such as satellites using passive stereopsis without resulting to the introduction of additional light source.
In mobile systems the position and attitude of active vision system's cameras can be hard to determine. Inertial sensors coupled to the active vision system can provide valuable information, as happens with the ve...
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In mobile systems the position and attitude of active vision system's cameras can be hard to determine. Inertial sensors coupled to the active vision system can provide valuable information, as happens with the vestibular system in human and other animals. In this article, we present our integrated inertial and vision systems. The active vision system has a set of stereo cameras capable of vergence, with a common baseline, pan and tilt, and an implemented process of visual fixation. An inertial system prototype, based on low-cost sensors, was built. The inertial sensordata is used to segment the ground plane in the images. For on-the-fly visualization of the segmented images and the detected ground points a VRML viewer is used.
The Explosive Ordnance Disposal Robotic Work Package (EODRWP) Program developed and demonstrated a number of capabilities supporting teleautonomous ordnance detection and intervention using small Unmanned Underwater V...
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The Explosive Ordnance Disposal Robotic Work Package (EODRWP) Program developed and demonstrated a number of capabilities supporting teleautonomous ordnance detection and intervention using small Unmanned Underwater Vehicles (UUVs). The advanced technologies underlying these capabilities include situationally reactive intelligent mission control, parallel processing-based sonar sensordata processing which supports a dynamic classification capability, precise inertially aided subsea navigation and positioning, and vehicle closed-loop control as a compact vehicle independent subsystem. A Deep Ocean Engineering HVS4 ROV was employed as a subsea testbed platform supporting in-ocean testing prior to final demonstration and delivery. While the use of a tether facilitated the development and testing of new technologies, a number of serious technical and operational issues are attributable to the ROV when deployed in the open ocean environment or under operational conditions. Having completed a significant amount of development using the HVS4, and recognizing the shortcomings of the ROV testbed, Lockheed-Martin funded the development of Cetus, a hover-capable Autonomous Underwater Vehicle. The Cetus defines a new class of low-cost vehicle systems intended for shallow water work. The Cetus vehicle will provide a stable sensor bearing platform for the employment of forward looking video cameras and lights, compact forward-looking sonars, compact side-looking sonars, downward looking video camera and lights, magnetometers and other sensors. This paper describes the autonomous Cetus testbed system and details the application of the EODRWP's control and sensing capabilities and mission specific Reson 6012 "SeaBat" electronically scanned SONAR search sensor in a demonstration in a search, visit, and return mission. Facilitation of semiautonomous operation of Cetus and the EODRWP using a low-rate acoustic modem for command and telemetry will be described. The paper concludes with
The proceedings contains 33 papers from the 1997 IEEE Aerospace conference. Topics discussed include: petaflops computing;Beowulf;radar cross section visualization;space based radar;radar power subsystems;infrared the...
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The proceedings contains 33 papers from the 1997 IEEE Aerospace conference. Topics discussed include: petaflops computing;Beowulf;radar cross section visualization;space based radar;radar power subsystems;infrared thermograms;electromagnetic magnitude and phase measurement;wide area surveillance concepts;synthetic aperture radar;remote sensing;sensortechnology;radar clutter;space research high volume data analysis;planetary thermal spectroscopy;automated scene analyzer;UltraLITE systems;electrooptical imaging;real time fault tolerant computing;neural networks;and autonomous systems.
This paper reports on the continuing development of a DIS-compliant model for an airborne platform carrying a multisensor payload. This payload consists of a moving target indictor (MTI) radar, a cooperative battlefie...
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ISBN:
(纸本)0819425001
This paper reports on the continuing development of a DIS-compliant model for an airborne platform carrying a multisensor payload. This payload consists of a moving target indictor (MTI) radar, a cooperative battlefield combat identification system(BCIS), and imaging sensors. The imaging sensors are a synthetic aperture radar (SAR) and a forward looking infrared (FLIR) imager. The entire platform model is an extension to the ModSAF environment. The sensor model code is fully portable and integrated as ModSAF libraries. Relevant emission protocol data units (PDU) are generated and transmitted. The overall simulation architecture and the MTI and BCIS models have been described in detail elsewhere. The current work concentrates on the development of real-time model-based imaging functions. The software tools which provide this capability are available both in the government-owned inventory and as commercial products. The purpose of the current activity is to investigate the feasibility of integrating software of this kind with the ModSAF environment in order to produce realistic target/scene renderings similar to those obtained by high-resolution imaging sensors. To this end, we investigated realtime scene generation using two approaches. The first, through integration of the IRMA software package developed and distributed by the USAF Wright Laboratories, Eglin AFB, and the second is by use of the commercial software package sensorVision(TM) which is marketed and distributed by Paradigm Solutions, Inc. Both of these produce scene renderings in user specified wavebands by combining entity state PDU information with terrain data. The scene model information is passed to rendering software to produce an LR or SAR rendering of the scene.
M.I.T. Lincoln Laboratory has developed a complete, end-to-end, automatic target detection/recognition (ATD/R) system for synthetic aperture radar (SAR) data. The system uses resolution enhancement (superresolution) t...
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ISBN:
(纸本)0819424811
M.I.T. Lincoln Laboratory has developed a complete, end-to-end, automatic target detection/recognition (ATD/R) system for synthetic aperture radar (SAR) data. The system uses resolution enhancement (superresolution) techniques to improve the performance of the automatic target recognition (ATR) stage. This paper presents a new multi-resolution classification scheme that greatly improves the computational efficiency of the classifier with only a slight loss in classification performance.
This paper investigates modeling indoor environments using a low-cost compact active range camera, known as BIRIS, mounted onto a pan and tilt motor unit. The BIRIS sensor, developed at the National Research Council o...
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ISBN:
(纸本)0780337484
This paper investigates modeling indoor environments using a low-cost compact active range camera, known as BIRIS, mounted onto a pan and tilt motor unit. The BIRIS sensor, developed at the National Research Council of Canada, is a rugged small camera with no moving parts. The contributions of this paper are mainly in three areas: it demonstrates the viability of the use of a low-cost range sensor in the domain of indoor environment modeling;it presents the results of processing 3-D data to build a virtual environment for navigation and visualization;and, it analyses and outlines the advantages and limitations encountered when scanning large indoor environments.
Army Research Laboratory (ARL), as part of its mission-funded exploratory development program, has been evaluating the use of a low-frequency, ultra-wideband (UWB) imaging radar to detect tactical vehicles concealed b...
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ISBN:
(纸本)0819424811
Army Research Laboratory (ARL), as part of its mission-funded exploratory development program, has been evaluating the use of a low-frequency, ultra-wideband (UWB) imaging radar to detect tactical vehicles concealed by foliage. An instrumentation-grade measurement system has been designed and implemented by ARL. Extensive testing of this radar over the preceding 18 months has led to the establishment of a significant and unique data base of radar imagery. We are currently using these data to develop target detection algorithms which can aid an operator in separating vehicles of interest from background. This paper provides early findings from the algorithm development effort. To date, our efforts have concentrated on identifying computationally simple strategies for canvassing large areas for likely target occurrences-i.e., prescreening of the imagery. Phenomenologically-sound features are being evaluated for discrimination capability. Performance assessments, in terms of receiver operating characteristics (ROC), detail detection capabilities at various false alarm rates.
This paper explores the use of nonlinear prediction in the modeling of sea clutter. The nonlinear methods considered here are based on local approximations: nearest neighbor and local linear prediction. The effects of...
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ISBN:
(纸本)0819424811
This paper explores the use of nonlinear prediction in the modeling of sea clutter. The nonlinear methods considered here are based on local approximations: nearest neighbor and local linear prediction. The effects of radar scan ranges and the number of training samples on the nonlinear clutter model are examined. The nonlinear predictive model is then used for clutter suppression to enhance target detectability. It is shown that the nonlinear predictive detection scheme can detect small floating targets such as beach balls embedded in sea clutter. The standard linear prediction is used for comparison. It is observed that the nonlinear prediction outperforms the linear one on a regular basis.
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