This paper researches the unexplored task鈥攑oint cloud salient object detection (SOD). Differing from SOD for images, we find the attention shift of point clouds may provoke saliency conflict, i.e. , an object paradoxically belongs to salient and non-salient categories. To eschew this issue,...
The 3D sensing-based methods mainly use LiDAR or depth cameras to obtain 3D structural information for the trees and then apply 3D vision algorithms for branches detection. For instance, Ma et al. (2021) used RGB-D cameras to obtain the high-quality 3D point clouds of jujube trees, and ...
It is also useful for detecting the abnormal state of moving objects (Feng et al. 2019), as well as for matching and registering point clouds (Peng et al. 2014). In space missions, the relative spatial relation is used for relative positioning and attitude estimation in the final phase of...
This paper researches the unexplored task—point cloud salient object detection (SOD). Differing from SOD for images, we find the attention shift of point clouds may provoke saliency conflict, i.e., an object paradoxically belongs to salient and non-sali
K. Chalup, et al., "Segmenting salient objects in 3D point clouds of indoor scenes using geodesic distances," Journal of Signal and Information Processing, vol. 4, no. 03, pp. 102-108, 2013.S. Bhatia and S. K. Chalup. Segmenting salient objects in 3d point clouds of indoor scenes ...
K. Chalup, et al., "Segmenting salient objects in 3D point clouds of indoor scenes using geodesic distances," Journal of Signal and Information Processing, vol. 4, no. 03, pp. 102-108, 2013.S. Bhatia and S. K. Chalup. Segmenting salient objects in 3d point clouds of indoor scenes ...
Point set registrationSalient object detectionRGB-D imagesGICPPoint cloud registration plays an important role in 3D computer vision. A challenge in this field is the presence of small salient objects with huge flat backgrounds in point clouds, which may result in poor registration. Despite ...