Although existing 3D object-detection methods have achieved promising results on conventional datasets, it is still challenging to detect objects in data collected under adverse weather conditions. Data distortion from LiDAR and cameras such conditions leads poor performance of traditional single-sensor detection methods. Multi-modal data-fusion struggle with low alignment accuracy, making accurate target difficult. To address this, we propose a multi-modal algorithm, Snow-CLOCs,...

We investigated calibration procedures of multiple Kinect sensors simultaneously. Through standard algorithms our multi-Kinect system is accurately registered. propose and implemented a to seamlessly render scene from wide range angles. Such capable real-time operation. also the problem inconsistent depth measurement between different units, arrived at same conclusion as state-of-the-art regarding characteristics errors in sensor. In order compensate these for live acquisition display...

The three-dimensional, inviscid and viscous flow instability modes that appear on a solid-body rotation in finite-length straight, circular pipe are analysed. This study is direct extension of the Wang & Rusak ( Phys. Fluids , vol. 8 (4), 1996 pp. 1007–1016) analysis axisymmetric instabilities swirling flows pipe. linear stability equations same as those derived by Kelvin Phil. Mag. 10, 1880, 155–168). However, we general mode perturbation satisfies inlet, outlet wall conditions with...

Detecting manipulated facial images and videos on social networks has been an urgent problem to be solved. The compression of media destroyed some pixel details that could used detect forgeries. Hence, it is crucial faces in different quality. We propose a new multi-stream network architecture named GGViT, which utilizes global information improve the generalization model. embedding whole face extracted by ViT will guide each stream network. Through large number experiments, we have proved...

Abstract The physical properties of a recently proposed feedback-stabilization method vortex flow in finite-length straight pipe are studied for the case solid-body rotation flow. In natural case, when swirl ratio is beyond certain critical level, linearly unstable modes appear sequence as level increased. Based on an asymptotic long-wave (long-pipe) approach, global feedback control shown to enforce decay time perturbation’s kinetic energy and thereby quench all instability range above...

This work presents a robust, and low-cost framework for real-time marker based 3-D human expression modeling using off-the-shelf stereo web-cameras inexpensive adhesive markers applied to the face. The system has low computational requirements, runs on standard hardware, is portable with minimal set-up time no training. It does not require controlled lab environment (lighting or set-up) robust undervarying conditions, i.e. illumination, facial hair, skin tone variation. Stereo perform...

Structure-from-Motion (SfM) using the frames of a video sequence can be challenging task because there is lot redundant information, computational time increases quadratically with number frames, would low-quality images (e.g., blurred frames) that decrease final quality reconstruction, etc. To overcome all these issues, we present novel deep-learning architecture meant for speeding up SfM by selecting predicted sub-sampling frequency. This general and learn/distill knowledge any algorithm...

Geometric knowledge has been shown to be beneficial for the stereo matching task. However, prior attempts integrate geometric insights into algorithms have largely focused on from single images while crucial cross-view factors such as occlusion and uniqueness overlooked. To address this gap, we propose a novel Intra-view Cross-view learning Network (ICGNet), specifically crafted assimilate both intra-view knowledge. ICGNet harnesses power of interest points serve channel understanding....

We propose to integrate the newest developments in stereomatching theory, affordable parallel processing capabilities (using GPU e.g. PC gaming/graphic card) and statistical surface analysis implement test an in-situ Underwater Dynamic Stereo Photogrammetry (UDSP) system for civil engineering applications. The proposed UDPS aims provide underwater Digital Elevation Models (DEM), applications such as a two-dimensional discrete matrix of data elevations. Experiments on river bed...

LiDAR and cameras, often regarded as the "eyes" of intelligent driving vehicles, are vulnerable to adverse weather conditions like haze, rain, snow, compromising safety. In order solve this problem enhance environmental sensing capability under severe conditions, paper proposes a multimodal back-end fusion object detection method, Sec-CLOCs, which is specifically optimized for vehicle heavy snow. This method achieves by integrating an improved YOLOv8s 2D detector with SECOND 3D detector....

We propose a novel approach to justify and guide regularisation of an ill-posed one-dimensional global optimisation with multiple solutions using massively parallel (P system) model the solution space. Classical assumes well-posed

This paper introduces a fast and reliable Belief Propagation based stereo matching algorithm to be equipped with mobile real-time vision applications; such as autonomous navigation of robots, vehicles, UAVs drones, mobility aid for visually impaired, more.. The approximates the minimum energy solution on graphical Markov Chains intensities consecutive image scanlines. It can achieve performance (30 frames per seconds) while maintaining accurate results. also produce results under non-ideal...

In multi-agent systems (MAS), every autonomous agent tries to increase its own personal utility under complex environment involving a variety of types social coordination. Modeling the coordination and autonomy agents is great significance for distributed problem-solving in MAS. This paper devoted novel generalized particle approach model At first, we analyze formalize some typical Then discuss (GPM) MAS that related dynamics. Finally, demonstrate GPM-based parallel algorithm properties task...

Accurate and fast approximate global energy minimisation with semi-global matching (SGM) reconstructs a single visible 3D surface from stereo pair of images by combining cross-sections, or profiles, found in multiple directions using 1D belief propagation (BP). Each measures mismatch between corresponding signals the images, which is appended weighted unevenness surface. To account for frequent practice perceptive (contrast offset) image deviations, evaluated terms mutual information (MI)....