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IOFusion: instance segmentation and optical-flow guided 3D reconstruction in dynamic scenes
To improve the accuracy of camera pose estimation for RGBD-based 3D reconstruction in dynamic scenes, a method based on instance segmentation and...
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Deep 6-DoF camera relocalization in variable and dynamic scenes by multitask learning
Recently, direct visual localization with convolutional neural networks has attracted researchers’ attention with achieving an end-to-end process....
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Real-time deformable SLAM with geometrically adapted template for dynamic monocular laparoscopic scenes
PurposeIntraoperative reconstruction of endoscopic scenes is a key technology for surgical navigation systems. The accuracy and efficiency of 3D...
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Survey on video anomaly detection in dynamic scenes with moving cameras
The increasing popularity of compact and inexpensive cameras, e.g. dash cameras, body cameras, and cameras equipped on robots, has sparked a growing...
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Keyframe-based RGB-D dense visual SLAM fused semantic cues in dynamic scenes
The robustness of dense visual SLAM is still a challenging problem in dynamic environments. In this paper, we propose a novel keyframe-based dense...
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Optimized segmentation with image inpainting for semantic map** in dynamic scenes
Moving objects will obscure static objects in a dynamic scene. When the existing semantic segmentation methods deal with these static objects, there...
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Electromagnetic Simulation of Robotic Dynamic Scenes for Novel Sensor Developments
To ensure the safety and efficiency of human-robot collaboration, new sensor modalities are required that capture a robot’s entire environment and...
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Semi-direct Sparse Odometry with Robust and Accurate Pose Estimation for Dynamic Scenes
The localization accuracy and robustness of visual odometry systems for static scenes can be significantly degraded in complex real-world...
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Visual Slam in Dynamic Scenes Based on Object Tracking and Static Points Detection
Simultaneously Localization and Map** (SLAM) plays a key role in tasks such as mobile robots navigation and path planning. How to achieve high...
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Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes
In the absence of well-exposed contents in images, high dynamic range image (HDRI) provides an attractive option that fuses stacked low dynamic range...
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Performance Model of Graphics Pipeline for a One-Pass Rendering of 3D Dynamic Scenes
AbstractA one-pass rendering scheme of 3D dynamic scenes using modern graphics processing units (GPUs) and graphical interfaces is considered. This...
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A review of point cloud segmentation for understanding 3D indoor scenes
Point cloud segmentation is an essential task in three-dimensional (3D) vision and intelligence. It is a critical step in understanding 3D scenes...
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Pseudoneglect during object search in naturalistic scenes
Pseudoneglect, that is the tendency to pay more attention to the left side of space, is typically assessed with paper-and-pencil tasks, particularly...
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Background subtraction via regional multi-feature-frequency model in complex scenes
Although a wide variety of background subtraction methods has been proposed in recent years, none has been able to fully address multi-scale moving...
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Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
We introduce an end-to-end joint training framework that explicitly models 6-DoF motion of multiple dynamic objects, ego-motion, and depth in a...
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Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes
Cortical representations supporting many cognitive abilities emerge from underlying circuits comprised of several different cell types. However, cell...
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Attention-guided network with inverse tone-map** guided up-sampling for HDR imaging of dynamic scenes
The Ghost-like artifact caused by motion and ill-exposed areas is one of the most challenging problems in high dynamic range (HDR) image...
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Attention-based network for passive non-light-of-sight reconstruction in complex scenes
Passive non-line-of-sight (NLOS) reconstruction has received considerable success in diverse fields. However, the existing reconstruction methods...
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Grid-induced bounding volume hierarchy for ray tracing dynamic scenes
This paper proposes a novel method for accelerating ray tracing of animated scenes in which objects are moved, added, or deleted. The method uses two...
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Long-term memory representations for audio-visual scenes
In this study, we investigated the nature of long-term memory representations for naturalistic audio-visual scenes. Whereas previous research has...
