This paper performs a comprehensive and comparative evaluation of the state-of-the-art local features for task image-based 3D reconstruction. The evaluated cover recently developed ones by using powerful machine learning techniques elaborately designed handcrafted features. To obtain evaluation, we choose to include both float type binary ones. Meanwhile, two kinds datasets have been used in this evaluation. One is dataset many different scene types with groundtruth points, containing images...

For intermediate and high risk prostate cancer, both the gland seminal vesicles are included in clinical target volume. Internal motion patterns of these two organs vary, presenting a challenge for adaptive treatment. Adaptive techniques such as isocenter repositioning soft tissue alignment effective when tumor volumes only exhibit translational shift, while direct re-optimization intensity-modulated radiation therapy (IMRT) plan maybe more desirable extreme deformation or differential...

Feature description for local image patch is widely used in computer vision. While the conventional way to design descriptor based on expert experience and knowledge, learning-based methods designing become more popular because of their good performance data-driven property. This paper proposes a novel method binary feature descriptor, which we call receptive fields (RFD). Technically, RFD constructed by thresholding responses set fields, are selected from large number candidates according...

Isotope dependences of charge radii, i.e., isotope shifts, calculated by the Skyrme Hartree-Fock, relativistic mean-field, and Hartree-Fock calculations are compared against experimental data magic semimagic nuclei. It is found that tensor interaction plays a role in reproducing ``kink'' behavior, irregularity shifts at neutron number, approach. With several models, it kink behavior can be reproduced with spin-orbit having nonzero isovector channel. The single-particle orbitals near Fermi...

This paper concentrates on the elevator passenger detection task, a pivotal element for subsequent tracking and behavior recognition, crucial ensuring safety. To enhance accuracy of detecting positions inside elevators, we improved YOLOv8 network proposed SC-YOLOv8 with soft-pooling attention mechanisms. The main improvements in this encompass following aspects: Firstly, transformed convolution module (ConvModule) backbone by introducing spatial channel reconstruction (SCConv). improvement...

Accurate crop classification using remote sensing imagery with limited labeled data remains a challenging yet highly valuable task in practical applications. Recently, self-supervised contrastive learning has shown considerable potential generating discriminative and generalized features from unlabeled images. Nevertheless, due to the inherent complexity of planting structures growth patterns, existing methods struggle fully capture distinct spatial spectral characteristics various crops. To...

Under the background of rapid development science and technology much attention in field robotics, Vex robot is great significance education, but there are difficulties control. Given that Proportional-Integral-Derivative (PID) algorithm widely used control achievements shortcomings related research, this paper discusses depth its application VEX robots, including analysis mathematical principles PID algorithm, specific operation steps practice programming as well parameter optimization...

Purpose: To determine whether there is a CT dataset may be more favorable for planning and dose calculation by comparing dosimetric characteristics between treatment plans calculated using free breathing (FB), maximum average intensity projection (MIP AIP, respectively) CTs lung cancer patients receiving stereotactic body radiation therapy (SBRT). Methods: Twenty SBRT patients, treated on linac with 2.5 mm width multileaf‐collimator (MLC), were analyzed retrospectively. Both FB helical...

Multi-view data is common in real-world datasets, where different views describe distinct perspectives. To better summarize the consistent and complementary information multi-view data, researchers have proposed various representation learning algorithms, typically based on factorization models. However, most previous methods were focused shallow models which cannot capture complex hierarchical information. Although a deep model has been recently, it fails to explicitly discern does not...

Recent trends in stereotactic radiosurgery use multifocal volumetric modulated arc therapy (VMAT) plans to simultaneously treat several distinct targets. Conventional verification often involves low resolution measurements a single plane, cylinder, or intersecting planes of diodes ion chambers. This work presents an investigation into the consistency and reproducibility this new treatment technique using comprehensive commissioned high-resolution 3D dosimetry system (PRESAGE(®)∕Optical-CT).A...

Stereotactic body radiation therapy (SBRT), which delivers a much higher fractional dose than conventional treatment in only few fractions, is an effective for liver metastases. For patients who are treated under free-breathing conditions, however, respiration-induced tumor motion the concern. Limited clinical information available related to impact of and technique on dosimetric consequences. This study evaluated deviations between planned delivered SBRT presence three delivery techniques:...

Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete reconstruction, an effective way is completely cover the using ground aerial images, supplemented by on certain regions with low textures complicated structures. Thus, key issue accurately calibrate cameras register scans unified framework. To this end, we proposed three-step pipeline for merging images scans. First, captured...

This report describes the technique and initial experience using cone beam CT (CBCT) for localization of treatment targets in patients undergoing stereotactic body radiation therapy (SBRT). Patients selected SBRT underwent 3-D or 4-D scans a customized immobilization cradle. GTV, CTV, ITV, PTV were defined. Intensity-modulated beams, multiple conformal dynamic arcs delivered Varian 21EX with 120-leaf MLC. CBCT images obtained prior to each fraction, registered planning by soft tissue bony...

In this paper, we present a fast randomized circle detection algorithm applied to determine the centers and radii of circular components. Firstly, gradient each pixel in image is computed using Gaussian template. Then, edge map image, obtained by applying canny detector, tackled acquire curves consisting 8-adjacency connected points. Subsequently, for center, N points curve are picked up, point, passed through most lines points, corresponds center. The radius can be received computing...

This paper presents an improved local ternary pattern (LTP) for automatic target recognition (ATR) in infrared imagery. Firstly, a robust LTP (RLTP) scheme is proposed to overcome the limitation of original achieving invariance with respect illumination transformation. Then, soft concave-convex partition (SCCP) introduced add some flexibility (CCP) scheme. Referring orthogonal combination binary patterns (OC_LBP), (OC_LTP) adopted reduce dimensionality histogram. Further, novel operator,...

American Association of Physicists in Medicine (AAPM) task group (TG) 142 has recently published a report to update recommendations the AAPM TG 40 and add new concerning medical accelerators era image‐guided radiation therapy (IGRT). The on IGRT are timely. In our institute, we established comprehensive imaging QA program accelerator based implemented it successfully. this paper, share one‐year experience performance evaluation an OBI capable linear accelerator, Novalis Tx, per guidelines....