This paper proposes a System-on-ProgrammableChip (SoPC) architecture to implement a stereo matching algorithm based on the sum of absolute differences (SAD) in a FPGA chip which can provide 1396×1110 disparity maps at 30 fps speed. The hardware implementation involves a 32bit Nios II microprocessor, memory interfaces and stereo matching algorithm circuit module. The stereo matching algorithm co...

Problem statement: The traditional approaches in mobile robot research are the use of stereo vision systems to extract range information from pairs of images. One of the difficulties of techniques in navigation is that the intrinsic computational expense of extracting three dimensional information from stereo pairs of images. Approach: To compare performance sensor readings from environment bet...

This paper presents a method for estimating disparity images from a stereo image sequence. While many existing stereo algorithms work well on a single pair of stereo images, it is not sufficient to simply apply them to temporal frames independently without considering the temporal consistency between adjacent frames. Our method integrates the state-of-the-art stereo algorithm with the scene flo...

Different from traditional panorama stereo acquisition technique shooting with numerous cameras, this study equips a double-symmetric prism in front of a single-lens camera to acquire images from four different angles of view, and the images acquired from the cameras every 20 degrees complete a pair of panorama stereo images with vertical angle of view ( ± 16 degrees) by image-based rendering. ...

This report describes a stereo algorithm which uses estimates of local image phase to calculate a disparity map for stereo images. Phase diierence and local frequency are measured by ltering the stereo images with Gabor lters and their derivatives, and the results are used to calculate the local disparity. Due to the limitations on the possible scale of the measured disparity imposed by the use...

Autonomous navigation, site modelling and surveillance applications all benefit from using panoramic 360◦ images. Catadioptric omnidirectional sensors, consisting of a camera and a mirror, can track objects even while the robot is making sudden and significant turns. There has been much debate and theoretical analysis recently concerning the relative merits of several possible shapes of mirrors...

We present a new method for 3-D volume segmentation of the human cerebrovascular structures from Magnetic Resonance Angiograms (MRA) and Magnetic Resonance Ventriculargrams (MRV). A slice through the volume containing large vein or artery structures is chosen, which becomes the seed location for the segmentation process. A modified 3-D computer graphics based region-filling algorithm is used to...

In this paper, we propose a new method for correcting distorted document images using a stereo camera pair. Geometric and photometric distortions may occur in document images of thick book pages because of its curved surfaces. The proposed method acquires document shape by stereo measurement to correct geometric distortions in images. By considering normal vectors of document surfaces, optimum-...

This paper investigates the positioning accuracy of image pairs achieved by integrating images from multiple satellites. High-resolution satellite images from IKONOS, QuickBird, and KOMPSAT-2 for Daejeon, Korea were combined to produce pairs of stereo images. From single-satellite stereo pairs to multiple-satellite image pairs, all available combinations were analyzed via a rational function mo...