Search results for "Computer Vision"
showing 10 items of 2353 documents
Multidimensional Integral Imaging and Recognition in Degraded Environments
2018
We present an overview of our work on multidimensional integral imaging systems. Integral-imaging-based multidimensional optical sensing and imaging will be described for 3-D visualization, seeing through obscurations, material inspection, augmented reality, biomedical applications, and object recognition from microscales to long-range imaging.
Optical implementation of micro-zoom arrays for parallel focusing in integral imaging.
2010
We report 3D integral imaging with an electronically tunable-focal-length lens for improved depth of field. The micro-zoom arrays are generated and implemented based on the concept of parallel apodization. To the best of our knowledge, this is the first report of parallel dynamic focusing in integral imaging based on the use of micro-zoom arrays.
Full-parallax 3D display from the hole-filtered depth information
2015
In this paper we introduce an efficient hole-filling algorithm for synthetic generation of microimages that are displayed on an integral imaging monitor. We apply the joint bilateral filter and the median filter to the captured depth map. We introduce in any step of the iterative algorithm with the data from a new Kinect capture. As a result, this algorithm can improve the quality of the depth maps and remove unmeasured depth holes effectively. This refined depth information enables to create a tidy integral image, which can be projected into an integral imaging monitor. In this way the monitor can display 3D images with continuous views, full parallax and abundant 3D reconstructed scene fo…
Toward 3D integral-imaging broadcast with increased viewing angle and parallax
2018
Abstract We propose a new method for improving the observer experience when using an integral monitor. Our method permits to increase the viewing angle of the integral monitor, and also the maximum parallax that can be displayed. Additionally, it is possible to decide which parts of the 3D scene are displayed in front or behind the monitor. Our method is based, first, in the direct capture, with significant excess of parallax, of elemental images of 3D real scenes. From them, a collection of microimages adapted to the observer lateral and depth position is calculated. Finally, an eye-tracking system permits to determine the 3D observer position, and therefore to display the adequate microim…
Depth rendering of large incoherent scenes from integral images
2016
Integral imaging is a technique that provides the spatial and angular information of three-dimensional (3D) scenes through a single shot. Taking advantage of this capability, different applications have been developed. Some of these applications are the 3D display and digital post-processing, in particular depth-reconstruction from integral images.
3D integral imaging with optical processing
2008
Integral imaging (InI) systems are imaging devices that provide auto-stereoscopic images of 3D intensity objects. Since the birth of this new technology, InI systems have faced satisfactorily many of their initial drawbacks. Basically, two kind of procedures have been used: digital and optical procedures. The "3D Imaging and Display Group" at the University of Valencia, with the essential collaboration of Prof. Javidi, has centered its efforts in the 3D InI with optical processing. Among other achievements, our Group has proposed the annular amplitude modulation for enlargement of the depth of field, dynamic focusing for reduction of the facet-braiding effect, or the TRES and MATRES devices…
Triggering Open Innovation Processes Through Organizational Emotional Capability and Rival's Absorptive Capacity Orientation
2022
In this article, we analyze the direct effects of the open innovation (OI) processes of acquisition and exploitation on innovation performance (IP), as well as the effects of two antecedents of OI: organizational emotional capability (EC) and rivaĺs absorptive capacity orientation (RACO). RACO implies processing external information in an analytical manner, whereas an intuitive approach is implicit in EC. The research model is tested in a sample of medium-low-technology Colombian small and medium-sized enterprises (SMEs) using structural equations by the consistent partial least squares method. Our results provide evidence on a significant effect of the OI acquisition process on IP, as well…
Indoor Scene Understanding using Non-Conventional Cameras
2020
Humans understand environments effortlessly, under a wide variety of conditions, by the virtue of visual perception. Computer vision for similar visual understanding is highly desirable, so that machines can perform complex tasks by interacting with the real world, to assist or entertain humans. In this regard, we are particularly interested in indoor environments, where humans spend nearly all their lifetime.This thesis specifically addresses the problems that arise during the quest of the hierarchical visual understanding of indoor scenes.On the side of sensing the wide 3D world, we propose to use non-conventional cameras, namely 360º imaging and 3D sensors. On the side of understanding, …
Human computer interactive future framework: automation of human interaction and interfaces
2020
Contemporary era technological improvements and social living urges the advancement of technological implementations and to create an environment for automation of interaction platform. The sole aim being the reduction of labour work or human effort and optimising the throughput gained. The future generation is expecting such developments in current systems, but none can elucidate the particular area of improvements to be done for future models. In order to cater such requirements, a HCI future framework for automating the interaction and interfaces is proposed. The framework is divided into ten co-frames of interfaces with further classifications for facilitating the understanding of indiv…
Measurement and storage of a network of jacobians as a method for the visual positioning of a robot arm
1996
The goal of this paper is to describe a method to position a robot arm at any visible point of a given workspace without an explicit on line use of the analytical form of the transformations between real space and camera coordinates (camera calibration) or between cartesian and joint coordinates (direct or inverse kinematics of the robot arm). The formulation uses a discrete network of points distributed all over the workspace in which a procedure is given to measure certain Jacobian matrices which represent a good local linear approximation to the unknown compound transformation between camera and joint coordinates. This approach is inspired by the biological observation of the vestibulo-o…