Results 11 to 20 of about 24,061,183 (328)
Model-Based Underwater 6D Pose Estimation From RGB
Object pose estimation underwater allows an autonomous system to perform tracking and intervention tasks. Nonetheless, underwater target pose estimation is remarkably challenging due to, among many factors, limited visibility, light scattering, cluttered environments, and constantly varying water conditions.
Davide Sapienza +7 more
openaire +2 more sources
A simple layered RGB BRDF model [PDF]
Many natural objects, and general layered materials, have non-linear reflection behaviour along wavelengths. An accurate representation of phenomena such as interference and colour separation generally requires a fine spectral representation of light instead of the commonly used RGB components.
X. Granier, W. Heidrich
openaire +2 more sources
Multi-Input Deep Learning Model with RGB and Hyperspectral Imaging for Banana Grading
Grading is a vital process during the postharvest of horticultural products as it dramatically affects consumer preference and satisfaction when goods reach the market. Manual grading is time-consuming, uneconomical, and potentially destructive.
A. Mesa, John Chiang
semanticscholar +1 more source
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers [PDF]
Scene understanding based on image segmentation is a crucial component of autonomous vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary modality ( ${X}$ -modality). However,
Huayao Liu +4 more
semanticscholar +1 more source
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model [PDF]
RGB-Infrared (RGB-IR) person re-identification (ReID) is a technology where the system can automatically identify the same person appearing at different parts of a video when light is unavailable. The critical challenge of this task is the cross-modality
Ziyue Zhang +4 more
semanticscholar +1 more source
Clothes-Changing Person Re-identification with RGB Modality Only [PDF]
The key to address clothes-changing person re-identification (re-id) is to extract clothes-irrelevant features, e.g., face, hairstyle, body shape, and gait.
Xinqian Gu +5 more
semanticscholar +1 more source
Object detection models commonly focus on utilizing the visible spectrum via Red–Green–Blue (RGB) imagery. Due to various limitations with this approach in low visibility settings, there is growing interest in fusing RGB with thermal Long Wave Infrared ...
James E. Gallagher, Edward J. Oughton
doaj +1 more source
The maximum quantum efficiency of photosystem II (Fv/Fm) is a widely used indicator of photosynthetic health in plants. Remote sensing of Fv/Fm using MS (multispectral) and RGB imagery has the potential to enable high-throughput screening of plant health
Qiang Wu +6 more
doaj +1 more source
SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection [PDF]
Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features.
Zhengyi Liu +3 more
semanticscholar +1 more source
Elevation Test Images for RGB, LWIR and RGB-LWIR Models
images extracted from footage recorded at 15 m (50 ft), 30 m (100 ft), 45 m (150 ft), 61 m (200 ft), 76 m (250 ft), 91 m (300 ft), 106 m (350 ft), and 121 m (400 ft). Five images will be extracted at every elevation for each image type. This will result in 120 images (5 RGB, LWIR and RGB-LWIR images at 8 elevations) per flight, with 600 labeled images (
Gallagher, James, Oughton, Edward
openaire +1 more source

