MobileRGBD, an open benchmark corpus for mobile RGB-D related algorithms

By Dominique Vaufreydaz, Amaury Nègre. 2014

7 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Mechanical Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Ling Shao
2. Jungong Han
3. Ziyun Cai
4. Li Liu
5. Yi-Zhe Song

In Electrical and Electronic Engineering

1. Ling Shao
2. Jungong Han
3. Ziyun Cai
4. Li Liu

In Mechanical Engineering

1. Ling Shao
2. Jungong Han
3. Ziyun Cai
4. Li Liu

Citations in the corpus

• RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, methodology): “The curves under the images are the accelerometer data at 50 Hz of devices attached to the knife, the mixing spoon, the small spoon, the peeler, the glass, the oil bottle, and the pepper dispenser mentioned datasets above, another 26 extra RGB-D datasets for different applications are also added int”