nature,science上关于计算机视觉的一些原创文献
真正原始创新是怎么样的？希望这些列表对做视觉研究的朋友有些启发，希望大家能帮我补充一些，谢谢。转载请注明http://hi.baidu.com/daren007或者http://www.sciencenet.cn/blog/王中任.htm。
1、D. Marr; T. Poggio.Cooperative Computation of Stereo Disparity.Science, New Series, Vol. 194, No. 4262. (Oct. 15, 1976), pp. 283-287. 这一篇是marr计算机视觉框架的开创性论文，到目前为止，计算机视觉基本上都在这个框架里做。
2、LONGUET-HIGGINS H C.A computer algorithm for reconstructing a scene from two projections[J].Nature,1981,293:133-135. 这一篇奠定了计算机视觉三维重构的基础，又称"八点算法”，导致计算机视觉三维重构热了20多年。
3、H. Bülthoff*, J. Little & T. Poggio.A parallel algorithm for real-time computation of optical flow.Nature 337, 549 - 553 (09 February 1989)
链接：http://www.nature.com/nature/journal/v337/n6207/abs/337549a0.html，光流实时并行算法的原始创新。
4、Hurlbert, A., and Poggio, T. 1986. Visual information: Do computers need attention?Nature 321(12).
5、Dov Sagi* & Bela Julesz.Enhanced detection in the aperture of focal attention during simple discrimination tasks.Nature 321, 693 - 695 (12 June 1986)
6、Gad Geiger; Tomaso Poggio.Science, New Series, Vol. 190, No. 4213. (Oct. 31, 1975), pp. 479-480.
7.Gad Geiger; Tomaso Poggio.The Müller-Lyer Figure and the Fly.Science, New Series, Vol. 190, No. 4213. (Oct. 31, 1975), pp. 479-480.
8.P. Sinha and T. Poggio.Role of Learning in Three-dimensional Form Perception," . Nature, Vol. 384, No. 6608, 460-463, 1996.
9.Hubel DH,Wiesel TN.Cells sensitive to binocular depth in area 18 of the macaque monkey cortex.Nature,1970,225∶41～42
10.Livingstone M and Hubel D.Segregation of form,color,movement and depth:Anatomy,physiology and perception.Science,1988,240∶740～-749.
被引用1372次，关于眼睛立体视觉机制的原创论文。
11.Poggio T. Computational Vision and Regularization Theory[J]. Nature(Lond), 1985, (3): 314～319.
12.T. Poggio; F. Girosi.Regularization Algorithms for Learning that are Equivalent to Multilayer
Networks.Science, New Series, Vol. 247, No. 4945. (Feb. 23, 1990), pp. 978-982. 关于等同于多层神经网络的正则化算法，可以参考的一篇2001年光学学报文章-----贾财潮; 戚飞虎等.从二维视图识别三维目标的多网络融合方法.光学学报，2001
13.Poggio T, Edelman S. A network that learns to recognize three-dimensional objects .Nature, 1990, 343(6255) :263~266.
14.H. K. Nishihara & T. Poggio.HIDDEN CUES IN RANDOM LINE STEREOGRAMS. Nature, 300, 347-349,1982.
15. W. Vanduffel et. alExtracting the third dimension from motion Differences in Human and monkey intraparietal cortex.Extracting 3D from motion: Differences in human and monkey intraparietal cortex. Science, 298, 413–415 被引用136次。比较了猴子和人是怎样用双眼线索来的到一个移动物体的三维结构的。这个小组用功能核磁共振成像手段，在人和猴子在观看连接的线旋转形成三维形状物体时，分别跟踪了大脑颞叶、枕叶和顶叶部的反应。他们发现，人和猴子的颞叶和枕叶两个部位的反应非常相似，但是人在顶叶皮层中表现出额外的活动，这可能是随人类形成了使用精密工具等技巧演化而来的(引自化石网作者的精彩。
1、D. Marr; T. Poggio.Cooperative Computation of Stereo Disparity.Science, New Series, Vol. 194, No. 4262. (Oct. 15, 1976), pp. 283-287. 这一篇是marr计算机视觉框架的开创性论文，到目前为止，计算机视觉基本上都在这个框架里做。
2、LONGUET-HIGGINS H C.A computer algorithm for reconstructing a scene from two projections[J].Nature,1981,293:133-135. 这一篇奠定了计算机视觉三维重构的基础，又称"八点算法”，导致计算机视觉三维重构热了20多年。
3、H. Bülthoff*, J. Little & T. Poggio.A parallel algorithm for real-time computation of optical flow.Nature 337, 549 - 553 (09 February 1989)
链接：http://www.nature.com/nature/journal/v337/n6207/abs/337549a0.html，光流实时并行算法的原始创新。
4、Hurlbert, A., and Poggio, T. 1986. Visual information: Do computers need attention?Nature 321(12).
5、Dov Sagi* & Bela Julesz.Enhanced detection in the aperture of focal attention during simple discrimination tasks.Nature 321, 693 - 695 (12 June 1986)
6、Gad Geiger; Tomaso Poggio.Science, New Series, Vol. 190, No. 4213. (Oct. 31, 1975), pp. 479-480.
7.Gad Geiger; Tomaso Poggio.The Müller-Lyer Figure and the Fly.Science, New Series, Vol. 190, No. 4213. (Oct. 31, 1975), pp. 479-480.
8.P. Sinha and T. Poggio.Role of Learning in Three-dimensional Form Perception," . Nature, Vol. 384, No. 6608, 460-463, 1996.
9.Hubel DH,Wiesel TN.Cells sensitive to binocular depth in area 18 of the macaque monkey cortex.Nature,1970,225∶41～42
10.Livingstone M and Hubel D.Segregation of form,color,movement and depth:Anatomy,physiology and perception.Science,1988,240∶740～-749.
被引用1372次，关于眼睛立体视觉机制的原创论文。
11.Poggio T. Computational Vision and Regularization Theory[J]. Nature(Lond), 1985, (3): 314～319.
12.T. Poggio; F. Girosi.Regularization Algorithms for Learning that are Equivalent to Multilayer
Networks.Science, New Series, Vol. 247, No. 4945. (Feb. 23, 1990), pp. 978-982. 关于等同于多层神经网络的正则化算法，可以参考的一篇2001年光学学报文章-----贾财潮; 戚飞虎等.从二维视图识别三维目标的多网络融合方法.光学学报，2001
13.Poggio T, Edelman S. A network that learns to recognize three-dimensional objects .Nature, 1990, 343(6255) :263~266.
14.H. K. Nishihara & T. Poggio.HIDDEN CUES IN RANDOM LINE STEREOGRAMS. Nature, 300, 347-349,1982.
15. W. Vanduffel et. alExtracting the third dimension from motion Differences in Human and monkey intraparietal cortex.Extracting 3D from motion: Differences in human and monkey intraparietal cortex. Science, 298, 413–415 被引用136次。比较了猴子和人是怎样用双眼线索来的到一个移动物体的三维结构的。这个小组用功能核磁共振成像手段，在人和猴子在观看连接的线旋转形成三维形状物体时，分别跟踪了大脑颞叶、枕叶和顶叶部的反应。他们发现，人和猴子的颞叶和枕叶两个部位的反应非常相似，但是人在顶叶皮层中表现出额外的活动，这可能是随人类形成了使用精密工具等技巧演化而来的(引自化石网作者的精彩。