Multi-View Stereo
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Related Articles from SNS
ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo
arXiv:2606.01367v1 Announce Type: new Abstract: Active scene reconstruction enables robots/UAVs to autonomously plan trajectories and reconstruct environments without costly manual data acquisition. Unlike passive methods, active reconstruction requires real-time construction of high-confidence occupancy maps for collision-free navigation.
VAD-GS: Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban Scenes
arXiv:2510.09364v2 Announce Type: replace Abstract: 3D Gaussian splatting (3DGS) has demonstrated impressive performance in synthesizing high-fidelity novel views. Nonetheless, its effectiveness critically depends on the quality of the initialized point cloud. Specifically, achieving uniform and complete point coverage over the underlying scene structure requires overlapping observation frustums, an assumption that is often violated in unbounded, dynamic urban environments.
NVIDIA's Isaac Gr00t platform gives researchers access to frontier humanoid robotics
NVIDIA's Isaac Gr00t platform gives researchers access to frontier humanoid robotics It uses a nearly 6-foot tall humanoid chassis and tactile five finger hands. As part of his AI-palooza Computex keynote, NVIDIA's Jensen Huang dove into the most relatable form of artificial intelligence: robots. The company announced the new Isaac Gr00t reference design humanoid robot platform that combines a Unitree H2 Plus humanoid robot, Sharpa five-fingered hands and NVIDIA Jetson Thor onboard compute.
StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception
arXiv:2605.09989v2 Announce Type: replace Abstract: Recent advances in robot imitation learning have produced powerful visuomotor policies that manipulate diverse objects from visual inputs. However, monocular observations lack depth information, which is critical for precise manipulation in cluttered or geometrically complex scenes. Explicit depth maps and point clouds are often noisy and fragile in real-world manipulation.
Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps
Announce Type: new Abstract: Specular glare on reflective floors, glass boundaries, and glossy indoor surfaces frequently corrupts active-stereo RGB-D depth measurements, producing holes and spikes that accumulate as persistent phantom obstacles in occupancy-grid costmaps. This paper presents a glare-resilient costmap construction method based on explicit depth-reliability modeling. A lightweight Depth Reliability Map network (DRM-Net) predicts per-pixel measurement trustworthiness under...