Dataset



Multi-view RGB-D Object Dataset


Keywords: 3D Model, Depth Image, MultiModal



Data Description:

This dataset is recorded under two different recording settings.

(1) 202 objects were recorded in the first setting, which was completed in March 2014. It was recorded with three Kinect sensors. Camera 1 and Camera 2 captured 360 RGB and depth images respectively by uniformly rotating the table controlled by the step motor. Camera 3 only captured one RGB image and one depth image in the top-down view. In this way, each object has 721 RGB images and 721 depth images in total. The resolution of RGB/depth image is 640 × 480. Moreover, we also uniformly sampled the images from Camera 1 and 2 with the step of 10 degrees and provide the compact version with 73 images for individual RGB and depth data, that was 36 images from Camera 1, 36 images from Camera 2, and 1 image from Camera 3.

(2) 303 objects were recorded under the second setting, which was completed in November 2014. These objects belong to 58 categories. It was recorded with three Kinect sensors. Camera 1 and Camera 2 captured 360 RGB and depth images respectively by uniformly rotating the table controlled by the step motor. Camera 3 only captured one RGB image and one depth image in the top-down view. In this way, each object has 721 RGB images and 721 depth images in all. The resolution of RGB/depth image is 640 × 480. Moreover, we also uniformly sampled the images from Camera 1 and 2 with the step of 10 degrees and provide the compact version with 73 images for individual RGB and depth data (36 from Camera 1, 36 from Camera 2, 1 from Camera 3).

More information you can refer to here

Representative Publications:

1. Nie, Wei-Zhi; Liu, An-An; Su, Yu-Ting;“3D object retrieval based on sparse coding in weak supervision Journal of Visual Communication and Image Representation”. Academic Press,2015.

2. Gao, Yue; Liu, Anan; Nie, Weizhi; Su, Yuting; Dai, Qionghai; Chen, Fuhai; Chen, Yingying; Cheng, Yanhua; Dong, Shuilong; Duan, Xingyue; "3D Object Retrieval with Multimodal Views",The Eurographics Association2015.

* You can download the Dataset is here.


Last Update: 07/09/2016