Results 61 to 70 of about 16,591 (312)

PRECISION 3D SURFACE RECONSTRUCTION FROM LRO NAC IMAGES USING SEMI-GLOBAL MATCHING WITH COUPLED EPIPOLAR RECTIFICATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
The Narrow-Angle Camera (NAC) on board the Lunar Reconnaissance Orbiter (LRO) comprises of a pair of closely attached high-resolution push-broom sensors, in order to improve the swath coverage.
H. Hu, B. Wu
doaj   +1 more source

Versatile CRISPR‐Cas Tools for Gene Regulation in Zebrafish via an Enhanced Q Binary System

Advanced Science, EarlyView.
This study introduces CRISPR‐Q, a transgenic CRISPR‐Cas system leveraging the QFvpr/QUAS binary expression platform in zebrafish. CRISPR‐Q overcomes previous challenges in achieving stable and efficient gene regulation. By enabling precise spatiotemporal control of transcript knockdown (CRISPR‐QKD) and gene activation (CRISPR‐Qa), it provides a ...
Miaoyuan Shi, Weiqi Ge, Changheng Li, Bin Liu, Xiaoyi Deng, Chengjie Liu, Meijun Zheng, Pu Zhang, Lei Li, Ying Guo, Yunqi Han, Yu Yang, Yanxun V. Yu, Youngnam N. Jin   +13 more
wiley   +1 more source

Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors

Sensors, 2018
Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation.
Dongchen Zhu, Jiamao Li, Xianshun Wang, Jingquan Peng, Wenjun Shi, Xiaolin Zhang   +5 more
doaj   +1 more source

Refinement of matching costs for stereo disparities using recurrent neural networks

EURASIP Journal on Image and Video Processing, 2021
Depth is essential information for autonomous robotics applications that need environmental depth values. The depth could be acquired by finding the matching pixels between stereo image pairs. Depth information is an inference from a matching cost volume
Alper Emlek, Murat Peker
doaj   +1 more source

Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology

Advanced Science, EarlyView.
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto, Tristan Dellazizzo Toth, Silvano Bond, Alexander Schmitz, Rim Diab, Sara Y. Ngo Tenlep, Brian Mooney, Silvia Erni, Martina Schobesberger, Olivier Scheidegger, Camille Peitsch, Smita Saxena   +11 more
wiley   +1 more source

Research on wave measurement and simulation experiments of binocular stereo vision based on intelligent feature matching

Frontiers in Marine Science
Waves are crucial in ocean observation and research. Stereo vision-based wave measurement, offering non-contact, low-cost, and intelligent processing, is an emerging method. However, improving accuracy remains a challenge due to wave complexity.
Junjie Wu, Junjie Wu, Shizhe Chen, Shizhe Chen, Shizhe Chen, Shixuan Liu, Shixuan Liu, Shixuan Liu, Miaomiao Song, Miaomiao Song, Miaomiao Song, Bo Wang, Bo Wang, Bo Wang, Qingyang Zhang, Qingyang Zhang, Yushang Wu, Yushang Wu, Yushang Wu, Zhuo Lei, Zhuo Lei, Zhuo Lei, Jiming Zhang, Jiming Zhang, Jiming Zhang, Xingkui Yan, Xingkui Yan, Xingkui Yan, Bin Miao, Bin Miao, Bin Miao   +30 more
doaj   +1 more source

MSCS: MeshStereo with Cross‐Scale Cost Filtering for fast stereo matching

IET Computer Vision, 2018
MeshStereo (MS) and cross‐scale cost filtering (CSCF) are two most recently celebrated models for stereo matching. On one hand, MS model enlightens for fast solving the dense stereo correspondence problem according to a region‐based opinion. On the other
Peng Yao, Hua Zhang, Yanbing Xue, Shengyong Chen   +3 more
doaj   +1 more source

Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching

Dynamic stereo matching is the task of estimating consistent disparities from stereo videos with dynamic objects. Recent learning-based methods prioritize optimal performance on a single stereo pair, resulting in temporal inconsistencies. Existing video methods apply per-frame matching and window-based cost aggregation across the time dimension ...
Jing, Junpeng, Mao, Ye, Mikolajczyk, Krystian   +2 more
openaire   +2 more sources

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

An Efficient Dense Stereo Matching Method for Planetary Rover

IEEE Access, 2019
Stereo matching is one of the most important and challenging subjects in the field of planetary rover with a stereo vision system. The generated disparity map can make rover to avoid the obstacle and explore the planetary surface automatically.
Haichao Li, Liang Chen, Feng Li
doaj   +1 more source