Computer Graphics - Principles and Practice, 3rd Edition
By J. F. Hughes, A. V. Dam, Morgan McGuire, David F. Sklar, J. D. Foley, S. Feiner, Kurt Akeley. 2014
1,250 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
- Angjoo Kanazawa
- Jitendra Malik
- Shubham Tulsiani
- Alexei A. Efros
- Tal Hassner
- Yuval Nirkin
- Yosi Keller
- Volker Blanz
Citations in the corpus
- Learning Category-Specific Mesh Reconstruction from Image Collections (2018, background): “Our mean shape is isomorphic to a sphere, whose texture can be represented as an image I , the values of which get mapped onto the surface via a fixed UV mapping (akin to unrolling a globe into a flat map) [13].”
- Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography (2018, methodology): “333 Hereafter, georeferencing of pixels was done performing a line-plane intersection, where lines were 334 represented by preliminary calculated rays, and the plane by the DEM triangle mesh in STL file format: 335 G = (p0 − f ) · n l · n · l + f , (22) where f is the focal point, l the vector of th”
- FSGAN: Subject Agnostic Face Swapping and Reenactment (2019, methodology): “Using a k-d tree data structure [16], we remove points in the angular domain that are too close to each other, prioritizing the points for which the corresponding Euler angles have a roll angle closer to zero.”
- Face recognition based on a 3D morphable model (2006, methodology): “3D rotation and hidden surface removal are captured by a simple matrix equation and a depth buffer operation, and illumination effects of specular non-metallic surfaces are easy to approximate by models such as the Phong illumination model [8].”