RGB-D Dataset 7-ScenesAntonio Criminisi
成立时间:January 1, 2013 The 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different applications such as dense tracking and mapping and relocalization techniques.
The 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different applications such as dense tracking and mapping and relocalization techniques. Overview All scenes were recorded from a handheld Kinect RGB-D camera at 640×480 ...
表4 Camera Tracking Results on the 7-ScenesDataset 论文还评估了具有挑战性的真实数据集7-场景。从上图可以看到NICER-SLAM在所有baseline上产生更清晰和更详细的几何图形。在tracking方面,从表4中可以看出,使用RGB-D输入的baseline总体上优于RGB-only方法,这表明额外的深度输入在跟踪方面起着至关重要的作用,特别是...
Download the7Scenesdataset and unzip the files into the folders:DATASET_PATH/SCENE_NAME/SEQUIENCE_NAME. For example, the 1st sequence in the chess scene is at/datasets/7scenes/chess/seq-01. Test with given camera pose In this case we assume the camera poses are given with the datasete.g...
This uses thedepth\dataset folder similar to mode 1 to generate ground truth scene coordinates but optimizes a different loss for initalization (3D distance instead of reprojection error). Note: The 7Scenes depth maps are not registered to the RGB images, and hence are not directly usable for...
In this paper we introduce ARKitScenes. It is not only the first RGB-D dataset that is captured with a now widely available depth sensor, but to our best knowledge, it also is the largest indoor scene understanding data released. In addition to the raw and processed data from the mobile ...
The SUN RGBD dataset contains 10335 real RGB-D images of room scenes. Each RGB image has a corresponding depth and segmentation map. As many as 700 object categories are labeled. The training and testing sets contain 5285 and 5050 images, respectively. Source: Mix and match networks: multi-...
Table 1: Quantitative results for our dataset – We report the quantitative metrics for our method and the baselines on the test views. We report results both for (top rows) outdoor scenes and (bottom rows) indoor scenes. We mark best and second-best results in each column. Our method ...
RGB-D fusion (RGB-D 融合)---Recent state-of-the-art methods generally fuse RGB and depth networks with equal-weight score fusion, regardless of the varying contributions of the two modalities on delineating different categories in different scenes ...