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TeaNeRF: an integrated 3D visual perception pipeline for tea bud harvesting. [PDF]
Front Plant SciChen W, Li X, Rao L, Xia X.
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Cotton field population phenotyping analysis based on 3D Gaussian reconstruction and dynamic spatial constraints. [PDF]
Front Plant SciLiu B +5 more
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RGReco: a unified framework for automated R-group recognition in chemical publications. [PDF]
J CheminformXiang Y +6 more
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Foundations and Trends® in Computer Graphics and Vision, 2007
Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effectively capturing ...
Sing Bing Kang +3 more
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Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. IBR as an area of research has been around for about ten years, and substantial progress has been achieved in effectively capturing ...
Sing Bing Kang +3 more
+6 more sources
Image-based rendering for scenes with reflections [PDF]
ACM Transactions on Graphics, 2012 We present a system for image-based modeling and rendering of real-world scenes containing reflective and glossy surfaces. Previous approaches to image-based rendering assume that the scene can be approximated by 3D proxies that enable view interpolation using traditional back-to-front or z-buffer compositing.
Johannes Kopf +2 more
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Image-Based Rendering Using Image-Based Priors
International Journal of Computer Vision, 2003Given a set of images acquired from known viewpoints, we describe a method for synthesizing the image which would be seen from a new viewpoint. In contrast to existing techniques, which explicitly reconstruct the 3D geometry of the scene, we transform the problem to the reconstruction of colour rather than depth.
Fitzgibbon, A, Wexler, Y, Zisserman, A
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