Results 61 to 70 of about 553,780 (312)
Multiview Layered Depth Image. [PDF]
J. WSCG, 2017 Layered Depth Images (LDI) compactly represent multiview images and videos and have widespread usage in image-based rendering applications. In its typical use case scenario of representing a scanned environment, it has proven to be a less costly alternative than separate viewpoint encoding.
Anjos, Rafael dos +3 more
openaire +1 more source
Depth perception with gaze-contingent depth of field
, 2014 Blur in images can create the sensation of depth because it emulates an optical property of the eye; namely, the limited depth of field created by the eye's lens. When the human eye looks at an object, this object appears sharp on the retina, but objects
Miguel A. Nacenta +7 more
core +1 more source
Design Science, 2020 We developed a method to generate omnidirectional depth maps from corresponding omnidirectional images of cityscapes by learning each pair of an omnidirectional and a depth map, created by computer graphics, using pix2pix.
Atsushi Takizawa, Hina Kinugawa
doaj +1 more source
Edge loss functions for deep-learning depth-map
Machine Learning with Applications, 2022 Depth computation from an image is useful for many robotic systems like obstacle recognition, autonomous navigation, and 3D measurements. The estimation is best solved with Deep Neural Networks (DNN) as these are non-linear and ill-posed problems.
Sandip Paul +3 more
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments [PDF]
, 2016 Smart environments and monitoring systems are popular research areas nowadays due to its potential to enhance the quality of life. Applications such as human behaviour analysis and workspace ergonomics monitoring are automated, thereby improving well ...
Yuen, Pong C. +9 more
core +1 more source
Sensors, 2021 As one of the key requirements for underwater exploration, underwater depth map estimation is of great importance in underwater vision research. Although significant progress has been achieved in the fields of image-to-image translation and depth map ...
Qi Zhao +3 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Predicting body weight and efficiency traits in beef cattle based on depth image data
Frontiers in Animal ScienceAdvancements in sensor technologies have enabled the development of automated, non-invasive, and cost-effective phenotyping tools capable of capturing novel traits relevant to livestock management and genetic selection. The objective of this study was to
Erin Marie Hanson +5 more
doaj +1 more source