Results 51 to 60 of about 78,230 (294)
RGB-D scene analysis in the NICU
Computers in Biology and Medicine, 2021 Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentation of all events of clinical significance, including clinical interventions and routine care events (e.g., feeding, diaper change, weighing, etc.). As a step towards automating this documentation process, we propose a scene recognition algorithm that ...
Yasmina Souley Dosso +3 more
openaire +2 more sources
Depth-Adapted CNN for RGB-D Cameras [PDF]
, 2021 Conventional 2D Convolutional Neural Networks (CNN) extract features from an input image by applying linear filters. These filters compute the spatial coherence by weighting the photometric information on a fixed neighborhood without taking into account the geometric information. We tackle the problem of improving the classical RGB CNN methods by using
Zongwei Wu +3 more
openaire +3 more sources
ENHANCED RGB-D MAPPING METHOD FOR DETAILED 3D MODELING OF LARGE INDOOR ENVIRONMENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 RGB-D sensors are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks with respect to 3D dense mapping of indoor ...
S. Tang +6 more
doaj +1 more source
, 2019 This is the pre-submission version of the manuscript that was later edited and published as a chapter in RGB-D Image Analysis and ...
Civera, Javier, Lee, Seong Hun
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Temporal and Spatial Denoising of Depth Maps
Sensors, 2015 This work presents a procedure for refining depth maps acquired using RGB-D (depth) cameras. With numerous new structured-light RGB-D cameras, acquiring high-resolution depth maps has become easy. However, there are problems such as undesired occlusion,
Bor-Shing Lin +4 more
doaj +1 more source
, 2016 يمكن أن تستفيد تطبيقات مثل التوطين المتزامن ورسم الخرائط (SLAM) بشكل كبير من بيانات مستشعر RGB - D لإنتاج خرائط ثلاثية الأبعاد للبيئة بالإضافة إلى تقدير مسار المستشعر. ومع ذلك، يمكن أن تكون خريطة النقاط ثلاثية الأبعاد الناتجة مرهقة، وبما أن البيئات الداخلية تتكون أساسًا من أسطح مستوية، فإن الفكرة هي استخدام الطائرات ككتل بناء لعملية الضرب.
Elchaoui Elghor, Hakim +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat +7 more
wiley +1 more source
Agronomy, 2019 Plant morphological data are an important basis for precision agriculture and plant phenomics. The three-dimensional (3D) geometric shape of plants is complex, and the 3D morphology of a plant changes relatively significantly during the full growth cycle.
Guoxiang Sun, Xiaochan Wang
doaj +1 more source
Improved RGB‐D‐T based face recognition [PDF]
IET Biometrics, 2016 Reliable facial recognition systems are of crucial importance in various applications from entertainment to security. Thanks to the deep‐learning concepts introduced in the field, a significant improvement in the performance of the unimodal facial recognition systems has been observed in the recent years.
Oliu Simon, Marc +9 more
openaire +1 more source