Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used various fields due to its powerful self-supervised learning ability and achieved good results data reconstruction tasks. However, visual classification tasks such as recognition, limited encoder learn features structure poor performance. We propose enhance encoder's feature extraction by leveraging latent space variational (VAE) further replace...

Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used various fields due to its powerful self-supervised learning ability and achieved good results data reconstruction tasks. However, visual classification tasks such as recognition, limited encoder learn features structure poor performance. We propose enhance encoder's feature extraction by leveraging latent space variational (VAE) further replace...

A guidewire is a medical device inserted into vessels during image guided interventions for balloon inflation. During interventions, the undergoes non-rigid deformation due to patients' breathing and cardiac motions, such 3D motions are complicated when being projected onto 2D fluoroscopy. Furthermore, in fluoroscopy there exist severe artifacts other wire-like structures. All these make robust tracking challenging. To address challenges, this paper presents probabilistic framework tracking....

Early detection of overtaking vehicles is an important task for vision-based driver assistance systems. Techniques utilizing image motion are likely to suffer from spurious structures caused by shadows and illumination changes, let alone the aperture problem. To achieve reliable vehicles, authors have developed a robust method, which integrates dynamic scene modeling, hypothesis testing, information fusion. A fusion algorithm, based on variable bandwidth density multiscale mean shift,...

Abstract We consider a hybrid supply chain with manufacturer and an online retailer rich demand information. The invests in green products sells them not only through retailers that then sell to customers (reselling) but also directly consumers via by paying proportional fee (agency selling). first decides whether share information the manufacturer, who encroach. show is willing encroach when entry cost small if chooses However, increase cost, could still shares find more efficient at...

Abstract In some applications of diffuse reflectance spectroscopy there may be substantial variability between the spectra from replicate measurements what is nominally same sample. A method called error reduction by orthogonal subtraction (EROS) proposed to ameliorate effects this. The first step use principal component analysis (PCA) identify structure in measurements. This followed modelled original spectral data matrix X projection onto subspace factors derived PCA. An application...

Computation complexity is an important issue for current face detection systems. This paper proposes a subspace approach to capture local discriminative features in the space-frequency domain fast detection. Based on orthonormal wavelet packet analysis, we develop discriminant algorithm search "minimum cost" of high-dimensional signal space, which leads set with maximum class discrimination and dimensionality reduction. Detailed (high frequency) information within facial areas shows...

Wild-grown Ganoderma lucidum (G. lucidum), a traditional Chinese herbal medicine, is highly cherished and expensive for its medicinal efficiency. This study targets the development of an accurate effective analytical method to distinguish wild-grown G. from cultivated ones, which are essential importance quality assurance estimation value. Furthermore, different parts have been studied examine differences between ones. Fourier transform infrared (FTIR) diffuse reflectance spectroscopy...

Elastic scattering spectroscopy (ESS) may be used to detect high-grade dysplasia (HGD) or cancer in Barrett's esophagus (BE). When spectra are measured vivo by a hand-held optical probe, variability among replicated from the same site can hinder development of diagnostic model for risk. An experiment was carried out on excised tissue investigate how two potential sources this variability, pressure and angle, influence spectral results were compared with variations observed collected patients...

Abstract Background Intraoperative diagnosis of sentinel node metastases enables an immediate decision to proceed axillary lymph dissection, avoiding a second operation in node-positive women with breast cancer. Methods An optical scanner was developed that interrogated the cut surface bivalved, but otherwise unprocessed, nodes pulses white light by elastic scattering spectroscopy (ESS). The scattered underwent spectral analysis, and individual spectra were initially correlated conventional...

A novel method for rapidly detecting metastatic breast cancer within excised sentinel lymph node(s) of the axilla is presented. Elastic scattering spectroscopy (ESS) a point-contact technique that collects broadband optical spectra sensitive to absorption and tissue. statistical discrimination algorithm was generated from training set nearly 3000 clinical used test collected an independent nodes. Freshly nodes were bivalved mounted under fiber-optic plate. Stepper motors raster-scanned probe...

We propose a new wavelet domain image interpolation scheme based on statistical signal estimation. A linear composite MMSE estimator is constructed to synthesize the detailed coefficients as well minimize mean squared error for high-resolution recovery. Based discrete time edge model, we use low-resolution information characterize local intensity changes and perform resolution enhancement accordingly. follows estimation error. Local statistics are involved in determining spatially adaptive...

As an exquisite asset of Chinese traditional culture, opera occupies a place high esteem within the world’s cultural and artistic treasury. The impact emerging cultures has threatened future necessitating thorough examination historical context Grand Canal opera. There is insufficient research on spatial evolution culture along Canal; thus, this study takes ancient stages, representative relic opera, as entry point employs methods such kernel density analysis standard deviation ellipse to...

This paper describes an integrated framework of on-road vehicle detection through knowledge fusion. In contrast to appearance-based detectors that make instant decisions, the proposed fuses appearance, geometry and motion information over multiple image frames. The vehicle/non-vehicle scene is utilized prior models obtained by learning, modeling estimation algorithms. It shown fusion largely improves robustness reliability system.

This paper presents a vision-based vehicle detection method, taking into account the lighting context of images. The adaptability system to conditions is an important characteristic on which little research has been carried out. scheme presented here categorizes scenes according their and switches between specialized classifiers for different scene contexts. In our implementation, four categories have identified using clustering algorithm in space image histograms: Daylight, Low Light,...

Abstract In practice, suppliers sell their products through online intermediaries who them to customers (reselling) or directly access via by paying a proportional fee (agency selling). Unlike giant intermediaries, these have smaller scales and are more risk‐averse. Motivated practical examples, this paper studies intermediaries' incentives for vertical demand information sharing with suppliers. We develop game‐theoretic model consider hybrid e‐commerce supply chain risk‐neutral intermediary...

Ganoderma lucidum(G. lucidum) spores as a valuable Chinese herbal medicine have vast marketable prospect for its bioactivities and medicinal efficacy. This study aims at the development of an effective simple analytical method to distinguish G. lucidum from fruiting body, which is essential importance quality control fast discrimination raw materials medicine. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy combined with appropriate chemometric methods...

Automatic face recognition has a lot of application areas and current single-camera severe limitations when the subject is not cooperative, or there are pose changes different illumination conditions. A system using multiple cameras overcomes these limitations. In each channel, real-time component-based detection detects with moderate employing fusion individual component detectors for eyes mouth, normalized recognized an LDA recognizer. reliability measure trained features extracted from...