The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Light field raw data collected from a camera array require large storage space on disks. To compress light field data, sparse representation is regarded as one of the top choices. In this paper, we design an Orthogonal Matching Pursuit (OMP) processor to improve computing time for finding sparse representation. The chip operates at 400 MHz and achieves 5 times speed-up when compared to the software...
We present a new method for correcting over-exposed areas in images. The method takes advantage of the strong correlation between the RGB color channels and relies on the observation that in images the RGB components are often not over-exposed at the same position. Our solution operates on line profiles, making it ideally suited for hardware implementations. In addition to its low computational complexity,...
The knowledge about relative orientations between truck and trailer is a vital prerequisite for driver assistance systems especially when dealing with safety improvements for this kind of vehicles. Yet, no adequate system solving this problem is available. A sensor system measuring this desired state information by an optical approach is presented in this paper. The sensor system is evaluated using...
We present OrcaM, a device for exploring new methods in the field of simultaneous acquisition of geometry, color and reflectance properties. OrcaM employs a full-spherical construction, a movable projector-camera unit, 633 individually controllable LEDs and a height-adjustable turntable with a glass carrier. In contrast to state of the art hardware layouts, this design allows data acquisition from...
Omnidirectional stereoscopy and depth estimation are complex problems of image processing to which the Panoptic camera offers a novel solution. The Panoptic camera is a biologically-inspired vision sensor made of multiple cameras. It is a polydioptric system mimicking the eyes of flying insects where multiple imagers, each with a distinct focal point, are distributed over a hemisphere. Recently, the...
In this paper we examine how closely together images to be used in 3D reconstruction are captured, when acquisition is started using a software-based trigger delivered to multiple computers on a network. In addition we compare a software triggered pull system to a push system. Synchronisation is a key component in 3D reconstruction systems and can also be one of the most problematic. In a shape-from-silhouette...
Obstacle detection by means of stereo-vision is a fundamental task in computer vision, which has spurred a lot of research over the years, especially in the field of vehicular robotics. The information provided by this class of algorithms is used both in driving assistance systems and in autonomous vehicles, so the quality of the results and the processing times become critical, as detection failures...
Three-dimensional metrology problems are traditionally the domain of expensive devices like Laser-stripe sensors and custom-made projector-camera systems. The launch of Microsoft's Kinect sensor solved many of these problems which were deemed feasible only with several thousand-Dollar devices before. However, the sensor is highly tuned to its domain of application, which is the robust scanning of...
A novel hardware implementation of an omnidirectional image sensor is presented which is capable of acquiring and processing 3D image sequences in real time. The system consists of a hemispherical arrangement of a large number of CMOS imagers, connecting to a layered arrangement of a high-end FPGA platform that is responsible data framing and image processing. The hardware platform in charge of real-time...
Computer architectures for advanced driver assistance systems have become increasingly important in the automotive industry. They target safety-critical applications, which process large amounts of incoming sensor data. This is especially the case for image processing applications, which must handle several uncompressed image streams from multiple cameras. As one possible target architecture, FPGAs...
We present an integrated vision and robotic system that plays, and learns to play, simple physically-instantiated board games that are variants of TIC TAC TOE and HEXA-PAWN. We employ novel custom vision and robotic hardware designed specifically for this learning task. The game rules can be parametrically specified. Two independent computational agents alternate playing the two opponents with the...
Enhancing desk-based computer environments with virtual reality technology requires natural interaction support, in particular head and hand tracking. Todays motion capture systems instrument users with intrusive hardware like optical markers or data gloves which limit the perceived realism of interactions with a virtual environment and constrain the free moving space of operators. Our work therefore...
We report here details of the design, development, initial testing and field-deployment of the HOLOMAR system for in-situ subsea holography and analysis of marine plankton and nonliving particles. HOLOMAR comprises a submersible holographic camera ("HoloCam") able to record in-line and off-axis holograms at depths down to 100 m, together with specialised reconstruction hardware ("HoloScan")...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.