Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
By Adrian Kaehler, Gary R. Bradski. 2016
1,064 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9a674d82cd4f47477e3f1aa7b89a3d9f6e3894b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- PL-VIO: Tightly-Coupled Monocular Visual–Inertial Odometry Using Point and Line Features (2018, methodology): “The line detection and matching codes are provided by OpenCV 3 [43].”
- An overview of depth cameras and range scanners based on time-of-flight technologies (2016, methodology): “Acommonly used lens distortionmodelwidely used for color cameras [7,26] can be adopted for TOF cameras as well: The observed distorted point (xl , yl) results from the displacement of (x, y) according to: ( xl yl ) = lρ(r) ( x”