Lincoln 发表于 2025-3-21 20:06:02

书目名称Biologically Motivated Computer Vision影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0187528<br><br>        <br><br>书目名称Biologically Motivated Computer Vision读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0187528<br><br>        <br><br>

山崩 发表于 2025-3-21 22:17:52

http://reply.papertrans.cn/19/1876/187528/187528_2.png

Excise 发表于 2025-3-22 02:08:32

http://reply.papertrans.cn/19/1876/187528/187528_3.png

著名 发表于 2025-3-22 06:47:13

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

Ankylo- 发表于 2025-3-22 09:33:35

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

–scent 发表于 2025-3-22 13:03:33

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

青少年 发表于 2025-3-22 17:11:34

http://reply.papertrans.cn/19/1876/187528/187528_7.png

bisphosphonate 发表于 2025-3-22 23:16:23

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

小口啜饮 发表于 2025-3-23 02:11:06

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

Certainty 发表于 2025-3-23 07:55:34

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
页: [1] 2 3 4 5 6 7
查看完整版本: Titlebook: Biologically Motivated Computer Vision; First IEEE Internati Seong-Whan Lee,Heinrich H. Bülthoff,Tomaso Poggio Conference proceedings 2000