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This paper addresses questions surrounding the placement of characters and the conversion point in stereoscopic film scenes based on proxemics as described by E.T. Hall.
In collision warning systems for automotive applications the response time of a system is very important, since a precise response is useless if it comes too late. In this paper a fast collision warning system is presented, which uses a stereo camera as a sensor. The used algorithms allow a fast response of the system by making use of parallel processing. The parallel processing algorithms have been...
Phase-shifted sinusoids are commonly used as projection patterns in structured light systems consisting of projectors and cameras. They require few image captures per 3D reconstruction and have low decoding complexity. Recently, structured light systems with a projector and a pair of stereo cameras have been used in order to overcome the traditional phase discontinuity problem and allow for the reconstruction...
Patch cloud based multi-view stereo methods have proven to be an accurate and scalable approach for scene reconstruction. Their applicability, however, is limited due to the semi-dense nature of their reconstruction. We propose a method to generate a dense depth map from a patch cloud by assuming a planar surface model for non-reconstructed areas. We use local evidence to estimate the best fitting...
Vision-based driver assistance requires basic vision modules for stereo analysis or optic flow calculation. Driving situations change frequently, and methods need to be evaluated in the real world. The paper proposes ways for evaluating optic flow techniques by using estimated geometries for surrounding buildings or 'road furniture'. It demonstrates the value of such an evaluation by discussing four...
We present wavefront/systolic algorithms for efficient implementation of Stereo Vision (SV) computation on a novel and very low power many core MIMD architecture, the IntellaSys S40C18. For Sum of Squared Differences (SSD) and Sum of Absolute Differences (SAD) SV algorithms with a disparity range of 16 pixels, we have achieved a performance of up to 25 frames per second (fps) for 348×288 images while...
2-D displays present significant visualization deficits and can hinder task performance when accurate perception of depth is required. Navigation of rugged terrain, scouting, and object detection at a distance all present limitations when viewed on traditional 2-D displays. The current investigation presents a novel use of stereo and hyperstereo image pairs to create a 3-D representation of the visual...
During development of the passive optoelectronic rangefinder (POERF), its simulation model enacts an important role. The key part of algorithm for a range measurement by POERF is the disparity estimation of images T'1 and T'2 of a target point T from the stereo pair images. Specific conditions of this task do not allow using commonly published algorithms for the solution of stereo-correspondence problem...
High speed stereo vision can allow unmanned robotic systems to navigate safely in unstructured terrain, but the computational cost can exceed the capacity of typical embedded CPUs. In this paper, we describe an end-to-end stereo computation co-processing system optimized for fast throughput that has been implemented on a single Virtex 4 LX160 FPGA. This system is capable of operating on images from...
The method of traditional stereo positioning for airborne SAR image is based on the image direction that the two strip images are used for stereo images. A new method is proposed based on the object direction aiming at the demand of the stereo mapping for airborne SAR image. Using the method, the single SAR image and DEM data are enough comparing with the traditional method that the two SAR images...
We present a unified framework for body and hand tracking, the output of which can be used for understanding simultaneously performed body-and-hand gestures. The framework uses a stereo camera to collect 3D images, and tracks body and hand together, combining various existing techniques to make tracking tasks efficient. In addition, we introduce a multi-signal gesture database: the NATOPS aircraft...
In this paper, we propose a method for fast generating a digital hologram using General-Purpose Computation on Graphics Processing Units (GPGPU). This method can reduce the computational time of generating a digital hologram by using the parallel processing with CUDA. And we demonstrate the effectiveness of our algorithm through a variety of experiment.
Low-cost 3D image capture devices are enabling new applications in the gaming, robotics, automotive and surveillance industries. A number of approaches are competing for a share of these markets. Stereoscopic cameras employ intensive image processing to interpret distance from the correlation of two separate image streams [1], structured light systems analyse the deformation of pat terned light projected...
We demonstrate an optofluidic microscopy scheme which can acquire stereo images, utilizing different angles of illumination for projection imaging with our sub-pixel resolving optofluidic microscope.
Although the technology has only reached the proof-of-concept stage, new 3DTV sets have already introduced the concept of converting 2D video and image content for 3D viewing. Given that the key differentiator and ultimate success factor is visual quality, it requires advancing from the objective of generating an acceptable stereo pair from a monoscopic source to generating a robust conversion of...
Stereoscopic images have been widely studied in recent years from a technical point of view, but the related quality assessment does not follow this enthusiasm. An objective quality assessment method for serious noised stereoscopic images is proposed. It is based on 2D quality evaluation and the characteristics of stereoscopic images. The disparity map for stereoscopic image pairs is an important...
In this paper we propose a low complexity algorithm to generate 3D image depth map in good quality based on a single 2D image for stereo applications. Owing to the different characteristics of images, the 2-D images are first classified into three categories and then processed by the proposed low complexity techniques to generate the depth map. With good quality in the generated depth map, we achieve...
This paper presents a novel error concealment method for stereoscopic video which makes use of the illumination changes between different views. Our goal is to improve the quality of the reconstructed macroblocks with disparity compensation prediction in a stereoscopic video coding system by compensating illumination difference between two views. Experimental results show that the proposed method...
Stereoscopic video object segmentation plays an important role in stereo vision analysis and application. In this paper, we proposed the combination support vector machine (SVM) and mean shift clustering algorithm to achieve classification and segmentation of stereoscopic video. We firstly divided the left image of stereoscopic video into the two classes of target and background and perform training...
Object detection is a vital task in several emerging applications, requiring real-time detection frame-rate and low energy consumption for use in embedded and mobile devices. This paper proposes a hardware-based, depth-directed search method for reducing the search space involved in object detection, resulting in significant speed-ups and energy savings. The proposed architecture utilizes the disparity...
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