Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction

详细信息    查看全文

• 作者：Zickler ; Todd E. ; Belhumeur ; Peter N. ; Kriegman ; David J.
• 关键词：BRDF ; reflectance ; surface reconstruction ; stereo ; photometric stereo ; Helmholtz reciprocity
• 刊名：International Journal of Computer Vision
• 出版年：2002
• 出版时间：2002
• 年：2002
• 卷：49
• 期：2/3
• 页码：215-227
• 全文大小：1.30 MB
• 刊物类别：Computer Science
• 刊物主题：Computer Imaging, Vision, Pattern Recognition and Graphics
  Artificial Intelligence and Robotics
  Image Processing and Computer Vision
  Pattern Recognition
  
• 出版者：Springer Netherlands
• ISSN：1573-1405

文摘

We present a method—termed Helmholtz stereopsis—for reconstructing the geometry of objects from a collection of images. Unlike existing methods for surface reconstruction (e.g., stereo vision, structure from motion, photometric stereopsis), Helmholtz stereopsis makes no assumptions about the nature of the bidirectional reflectance distribution functions (BRDFs) of objects. This new method of multinocular stereopsis exploits Helmholtz reciprocity by choosing pairs of light source and camera positions that guarantee that the ratio of the emitted radiance to the incident irradiance is the same for corresponding points in the two images. The method provides direct estimates of both depth and surface normals, and consequently weds the advantages of both conventional stereopsis and photometric stereopsis. Results from our implementation lend empirical support to our technique.