Download or read book Visual Perception of Depth from Occlusion A Neural Network Model written by and published by . This book was released on 1992 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: During this period, we have made substantial progress in understanding how objects are discriminated by the visual system. A number of papers describing our results are enclosed. Major goals of the project have been accomplished in several areas: (1) Completion of a beta release version of a novel neural network simulator, NEXUS; (2) Development of a parallel version of the NEXUS simulator which allows anatomically interconnected networks to be simultaneously simulated on different workstations linked by ethernet connections; (3) Continuing research using our model of how the visual system extracts depth-from-occlusion. Considerable progress with regard to how surfaces may be represented. Numerous simulations of responses to both real and illusory objects; and (4) Development of related cortically-based models of color visual processing and texture discrimination. Color and texture are used to detect contours in images, and these contours can then be used by our depth-from-occlusion model to determine the relative depth of the colored or textured surfaces.
Download or read book Visual Perception of Depth from occlusion written by Leif H. Finkel and published by . This book was released on 1992 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Perception of Depth from Occlusion A Neural Network written by and published by . This book was released on 1990 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two major goals have been accomplished during our first year of funded research. First, we have developed an environment for simulating neural systems, called NEXUS. NEXUS is designed for studying large networks. Towards this end, it is based on the principles of topological map organization, and introduces a novel network construct, programmable generalized neural (PGN) units. A single PGN unit can emulate the behavior of an entire neural circuit or assembly, allowing complex systems to be simulated. NEXUS is window-based and features an intuitive graphical user interface. Our second goal has been the development of a model of how the cortex extracts depth-from-occlusion. The model utilizes a multidistributed representation of depth and emphasizes how object segregation and discrimination occur. The model shows how spatially separated portions of an occluded object can be dynamically linked in mental representations (e.g. the moon viewed through tree branches is perceived as an intact circular disc, not as separate pieces). Early tests also indicate that the model will fully account for the variations in the vividness of perception of a wide range of illusory (Kanizsa) contours. The model is currently being simulated and tested using NEXUS.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1992 with total page 1572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks for Perception written by Harry Wechsler and published by Academic Press. This book was released on 2014-05-10 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
Download or read book Models of Neural Networks IV written by J. Leo van Hemmen and published by Springer Science & Business Media. This book was released on 2012-11-09 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.
Download or read book Cumulated Index Medicus written by and published by . This book was released on 2000 with total page 1840 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Depth Perception from Texture Accretion and Deletion written by Timothy Barnes and published by . This book was released on 2012 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Freezing is an effective defense strategy for some prey, because their predators rely on visual motion to distinguish objects from their surroundings. An object moving over a background progressively covers (deletes) and uncovers (accretes) background texture while simultaneously producing discontinuities in the optic flow field. These events unambiguously specify kinetic occlusion and can produce a crisp edge, depth perception, and figure-ground segregation between identically textured surfaces -- percepts which all disappear without motion. Given two abutting regions of uniform random texture with different motion velocities, one region will appear to be situated farther away and behind the other (i.e., the ground), if its texture is accreted or deleted at the boundary between the regions, irrespective of region and boundary velocities. Consequently, a region with moving texture appears farther away than a stationary region if the boundary is stationary, but it appears closer (i.e. the figure) if the boundary is moving coherently with the moving texture. The perception of kinetic occlusion requires the detection of an unexpected onset or offset of otherwise predictably moving or stationary contrast patches. A computational model of directional selectivity in visual cells is here extended to also detect motion onsets and offsets. The connectivity of these model cells not only affords the detection of local texture accretion and deletion events but also explains results showing that human reaction times differ for motion onsets versus offsets. These theorized cells are placed into a larger computational model of visual areas V1 and V2 to show how interactions between orientation- and direction-selective cells first create a motion-defined boundary and then signal texture accretion or deletion at that boundary. A weak speed-depth bias brings faster-moving texture regions forward in depth. This is consistent with percepts: the faster of two surfaces appears closer when moving parallel to the resulting emergent boundary between them (shearing motion). Activation of model occlusion detectors tuned to a particular velocity results in the model assigning the adjacent surface with a matching velocity to the far depth. These processes together reproduce human psychophysical reports of depth ordering for a representative set of all kinetic occlusion displays.
Download or read book Government Reports Announcements Index written by and published by . This book was released on 1992 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Issues in Networks Research and Application 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1089 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Networks Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Communication Networks. The editors have built Issues in Networks Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Communication Networks in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Networks Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Download or read book A Neural Network Model of Object Segmentation and Feature Binding in Visual Cortex written by and published by . This book was released on 1990 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present neural network simulations of how the visual cortex may segment objects and bind attributes based on depth-from-occlusion. We briefly discuss one particular subprocess in our occlusion-based model most relevant to segmentation and binding: determination of the direction of figure. We propose that our model allows us to address a central issue in object recognition: how the visual system defines an object. In addition, we test our model on 'illusory' stimuli, with the network's response indicating the existence of robust psychophysical properties in the system.
Download or read book Computer Analysis of Images and Patterns written by André Gagalowicz and published by Springer Science & Business Media. This book was released on 2005-08-30 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). This conference - ries started about 20 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western and Eastern-block co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The program follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportunity to interact personally with presenters. As for the numbers, we received a total of 185 submissions. All papers were reviewed by two to four members of the Program Committee. The ?nal selection was carried out by the Conference Chairs. Out of the 185 papers, 65 were - lected for oral presentation and 43 as posters. CAIP is becoming well recognized internationally, and this year’s presentations came from 26 di?erent countries. South Korea proved to be the most active scienti?cally with a total of 16 - cepted papers. At this point, we wish to thank the Program Committee and additional referees for their timely and high-quality reviews. The paper s- mission and review procedure was carried out electronically. We also thank the invited speakers Reinhardt Koch and Thomas Vetter for kindly accepting to present invited papers.
Download or read book Visual Perception written by Vicki Bruce and published by Psychology Press. This book was released on 1996 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition contains over 460 additional references and the treatment of visual psychology in the early chapters has been extensively revised.
Download or read book Computational Visual Media written by Fang-Lue Zhang and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Perception from a Computer Graphics Perspective written by William Thompson and published by CRC Press. This book was released on 2016-04-19 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to human visual perception suitable for readers studying or working in the fields of computer graphics and visualization, cognitive science, and visual neuroscience. It focuses on how computer graphics images are generated, rather than solely on the organization of the visual system itself; therefore, the text pro
Download or read book Investigation of a Neural Network Model for Human Early Visual Perception written by Mei Wu and published by . This book was released on 1990 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Emergent Neural Computational Architectures Based on Neuroscience written by Stefan Wermter and published by Springer. This book was released on 2003-05-15 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
