We focus on the challenging setting of cluttered indoor scenes, and evaluate our approach on the recently introduced NYU-Depth V2 (NYUD2) dataset (Silberman et al., ECCV, 2012). We propose algorithms for object boundary detection and hierarchical segmentation that generalize the gPb−ucm ...
微软已经发布了三种深度传感器:Kinect v1、Kinect v2 和 Azure Kinect。尽管 Azure Kinect 是前两代相机的继承者,但由于 Azure Kinect 在 2020 年 3 月才发布,Kinect v2 相机仍然是研究中使用最广泛的传感器。许多相关的实时重建系统都使用 Kinect v2 作为数据采集设备,因为它提供了可接受的分辨率和可承担的成本。
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-...
Semantic parsing for priming object detection in indoors RGB-D scenes The semantic mapping of the environment requires simultaneous segmentation and categorization of the acquired stream of sensory information. The existing m... CadenaCésar,KoeckáJana - 《International Journal of Robotics Research》 被...
We focus on the challenging setting of cluttered indoor scenes, and evaluate our approach on the recently introduced NYU-Depth V2 (NYUD2) dataset [27]. We propose algorithms for object boundary detection and hierarchical segmentation that generalize the gPb-ucm approach of [2] by making ...
We focus on the challenging setting of cluttered indoor scenes, and evaluate our approach on the recently introduced NYU-Depth V2 (NYUD2) dataset (Silberman et al., ECCV, ). We propose algorithms for object boundary detection and hierarchical segmentation that generalize the $$gPb-ucm$$ ...
I have tried with different scenes recorded using D435 vbbut with no success so far ( with the D435 intrinsic parameters ). The resulted fragments (obtained by make_fragments.py) are not well aligned even before registering them. On public datasets, it works fine. Really strange! amilton...
(i.e. relative spatial relations) in the generated captions, we use a message passing graph module to facilitate learning object relation features. Our method can effectively localize and describe 3D objects in scenes from the ScanRefer dataset, outperforming 2D baseline methods by a significant ...
Experiments on the public data set NYU depth V2 show that the proposed method can effectively detect each salient object in multi-object scenes, and can also highlight the each object entirely. 展开 关键词: RGB-D Superpixel segmentation Salient object detection Multi-feature fusion ...
For complex scenes, the compared approaches mostly predict a blurry salient object and recognize some non-salient part around the salient object as salient part. For the multi-objective detection, several methods miss some salient objects or predict the salient object with noises. When it comes to...