Results 61 to 70 of about 10,859 (240)
Deep representation learning for keypoint localization [PDF]
University of Technology Sydney. Faculty of Engineering and Information Technology.Keypoint localization aims to locate points of interest from the input image.
Huang, Shaoli
core
Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall +4 more
wiley +1 more source
In this study, we established a novel mouse model of intracerebral hemorrhage (ICH) by stereotactically injecting thermosensitive PNIPAM hydrogel into the internal capsule to impose localized mechanical stress on the corticospinal tract, which provides a straightforward and reproducible tool for preclinical studies on focal mechanical stress–induced ...
Mingxi Li +11 more
wiley +1 more source
Scale-invariant feature transform (SIFT) is widely used as an image local feature extraction method because of its invariance to rotation, scale, and illumination change. SIFT has been implemented in different program libraries.
Arif Rahman +4 more
doaj +1 more source
Keypoint Transfer Segmentation
. We present an image segmentation method that transfers label maps of entire organs from the training images to the novel image to be segmented. The transfer is based on sparse correspondences between keypoints that represent automatically identified ...
C Wachinger +4 more
core
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen +5 more
wiley +1 more source
TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery
Remote-sensing ship monitoring is a crucial area of research with key applications in military and civilian fields. The ability to extract information, such as ship length, width, and heading from remote-sensing data, particularly from synthetic aperture
Xiunan Li +7 more
doaj +1 more source
Boosting Binary Keypoint Descriptors [PDF]
Binary key point descriptors provide an efficient alternative to their floating-point competitors as they enable faster processing while requiring less memory. In this paper, we propose a novel framework to learn an extremely compact binary descriptor we call Bin Boost that is very robust to illumination and viewpoint changes.
Tomasz Trzcinski +3 more
openaire +1 more source
Bio‐inspired vision: From principle, material architectures to system‐level integration
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin +4 more
wiley +1 more source
Deteksi Keypoint pada Markerless Augmented Reality untuk Design Furniture Room
Metode yang digunakan oleh AR ini adalah menggunakan sistem melacak dan deteksi marker sebagai trigger untuk menampilkan benda virtual melalui media visual (kamera).Marker yang digunakan pada penelitian ini termasuk Markerless yang dideteksi menggunakan ...
Sri Desy Siswanti, Titoyan Dwi Handoko
doaj

