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Titlebook: Biologically Motivated Computer Vision; First IEEE Internati Seong-Whan Lee,Heinrich H. Bülthoff,Tomaso Poggio Conference proceedings 2000

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期刊全称Biologically Motivated Computer Vision
期刊简称First IEEE Internati
影响因子2023Seong-Whan Lee,Heinrich H. Bülthoff,Tomaso Poggio
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Biologically Motivated Computer Vision; First IEEE Internati Seong-Whan Lee,Heinrich H. Bülthoff,Tomaso Poggio Conference proceedings 2000
影响因子It is our great pleasure and honor to organize the First IEEE Computer Society International Workshop on Biologically Motivated Computer Vision (BMCV 2000). The workshop BMCV 2000 aims to facilitate debates on biologically motivated vision systems and to provide an opportunity for researchers in the area of vision to see and share the latest developments in state-of-the-art technology. The rapid progress being made in the field of computer vision has had a tremendous impact on the modeling and implementation of biologically motivated computer vision. A multitude of new advances and findings in the domain of computer vision will be presented at this workshop. By December 1999 a total of 90 full papers had been submitted from 28 countries. To ensure the high quality of workshop and proceedings, the program committee selected and accepted 56 of them after a thorough review process. Of these papers 25 will be presented in 5 oral sessions and 31 in a poster session. The papers span a variety of topics in computer vision from computational theories to their implementation. In addition to these excellent presentations, there will be eight invited lectures by distinguished scientists on “h
Pindex Conference proceedings 2000
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Straight Line Detection as an Optimization Problem: An Approach Motivated by the Jumping Spider Visurmation. The visual system of spiders from the . family is especially effective for straight line detection, due to their elongated and moveable retinae, which are used to scan the visual field. This paper presents a method for straight line motivated by the visual system of the ., which uses an opt
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Factorial Code Representation of Faces for Recognitions. A popular method for the compact coding may be the principal component analysis (PCA) which eigenface methods are based on. PCA based methods exploit only second-order statistical structure of the data, so higher-order statistical dependencies among pixels are not considered. Factorial coding is
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Distinctive Features Should Be Learnedion. Drawing from psychology, neuroscience and intuition, we show that certain aspects of human performance in visual discrimination cannot be explained by any of these techniques. We argue that many practical recognition tasks for artificial vision systems operating under uncontrolled conditions cr
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Object Classification Using a Fragment-Based Representationcate in computer vision systems. This difficulty arises from the large variability in images of different objects within a class, and variability in viewing conditions. In this paper we describe a fragment-based method for object classification. In this approach objects within a class are represente
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Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamicsnses (1). We elaborated on a previous adaptation model (2) which presents retinal adaptation mechanisms and predicts responses to aperiodic stimuli. The model suggests that the temporal decline in the response of the retinal ganglion cells is a reflection of the adaptation mechanism (“curve shifting
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Polarization-Based Orientation in a Natural Environment habitat. In this paper we imitate this ability and evaluate the possibility of a computer vision system using a standard CCD-camera to determine directions in outdoor scenes based on the polarization pattern of the sky. Even if the sky is covered with thick clouds, the incident light has a sufficie
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