10 天前 - … vision technology, others on multi-sensor fusion, and yet others on guide robots, and
… head-mounted stereo-vision odometry, enabling 3D point cloud traversability mapping and …

12 天前 - … for better correlation between vision and language. Meanwhile, to benefit from
geometry information of point cloud, we design multiview fusion module to aggregate visual …

15 天前 - … Instead of using painted point clouds or multiview point clouds, … , point cloud, and
language feature encoders respectively. We keep the vision-language sparse fusion module …

16 天前 - … Abstract—Place recognition holds a pivotal influence in the field of computer vision.
… All query point clouds and point clouds in the database are transformed into descriptors …

19 天前 - … Point clouds provide a common geometric representation for burgeoning 3D graphics
and vision … Specifically, “Add” represents we replace the feature fusion module with an …

19 天前 - … 1) Data Preprocessing: Structured light point cloud and … light point cloud data to
unify the data format of the visual sensor and structured light lidar, which is convenient for fusion …

26 天前 - … and 3D vision modalities. We decompose both the language and 3D point cloud
input into two … global context in attributespatial feature fusion by cross attentions. Our DASANet …

27 天前 - … Three-dimensional reconstruction tasks play an important role in computer vision
and … In this paper, we set n = 3, indicating the fusion of point cloud features at three different …

27 天前 - … Many computer vision methods have become so reliable that their implementation
in … and video fusion technology. RADAR generates unordered sets of points, or point clouds. …

27 天前 - … from point clouds is rapidly advancing in computer vision, … methods in processing
point cloud features, challenging … The first module is the geometric and semantic fusion-…