KinectFaceDB: A Kinect Database for Face Recognition
By Rui Min, Neslihan Kose, Jean-Luc Dugelay. 2014
273 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
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
- Li Liu
- Jungong Han
- Ling Shao
- Abdelmalik Taleb-Ahmed
- Michael Firman
- Amir Benzaoui
- Ziyun Cai
- Abdeldjalil Ouahabi
Citations in the corpus
- RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, methodology): “16 Sampled RGB (top row) and depth images (bottom row) from Kinect FaceDB [64].”
- SUN RGB-D: A RGB-D scene understanding benchmark suite (2015, unknown): “There are many existing RGB-D datasets available [54] [47] [1] [25] [44] [60] [49] [45] [29] [66] [57] [52] [46] [16] [21] [73] [35] [67] [3] [41] [10] [63] [42] [64] [65] [48] [12] [33] [8] [50] [26] [6].”
- Deep Multimodal Learning: A Survey on Recent Advances and Trends (2017, unknown): “[102] 2014”
- Past, Present, and Future of Face Recognition: A Review (2020, background): “Figure 36 shows an example of occlusion from the Kinect face database [161].”
- RGBD Datasets: Past, Present and Future (2016, background): “The field has now expanded to include datasets for identity recognition [25], pose regression [12, 28], and those where the expressions or emotions are to be inferred [27, 77].”