Image Mosaicing and Super-resolution
By David P. Capel. Distinguished Dissertations, 2004
295 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/2e0d432e059578865cdc37804ffed0427b0d991d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Chen Change Loy
- Andrew Zisserman
- Lei Zhang
- Andrea Vedaldi
In Environmental Engineering
- John Wright
- Patrick Pérez
- Michal Irani
- Thomas S. Huang
- Thomas Baltzer Moeslund
- Jianchao Yang
- Antonio Criminisi
- Daniel Glasner
Citations in the corpus
- Intelligent multi-camera video surveillance: A review (2013, background): “Since frames may be captured under different lighting conditions, they need photometric calibration when being composed together (Mann, 1996; Tsin et al., 2001; Capel et al., 2001).”
- Super-resolution from a single image (2009, methodology): “Recurrence of patches within the same image scale forms the basis for applying the Classical SR constraints to information from a single image (Sec.”
- Image Super-Resolution Via Sparse Representation (2010, unknown): “in [15], [4].”
- 1-Point RANSAC for extended Kalman filtering: Application to real-time structure from motion and visual odometry (2010, unknown): “Matching non-time-consecutive images is a key step to refine the trajectory followed by the robot using global alignment methods (Capel, 2004; Elibol, Garcia, Delaunoy, & Gracias, 2008; Ferrer, Elibol, Delaunoy, Gracias, & Garcia, 2007; Gracias, Costeira, & Victor, 2004; Sawhney, Hsu, & Kumar, 1998;”
- Image super-resolution as sparse representation of raw image patches (2008, methodology): “The solution to this optimization problem can be efficiently computed using the back-projection method, originally developed in computer tomography and applied to superresolution in [15, 4].”
- Region filling and object removal by exemplar-based image inpainting (2004, background): “(a) A panorama of Keble college in Oxford, courtesy of D. Capel and A. Zisserman [ 7 ].”
- Super-resolution: a comprehensive survey (2014, background): “– an affine model [20], [55], [195], [291], [293], [351], [425], [431], [483], [540] or – a projective model [84], [85], [86], [216], [316], [490],”