The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a system utilizes three-dimensional shape information to make the more robust arbitrary pose lighting. For each subject, 3D model is constructed by integrating several 2.5D scans which captured from different views. simplified (x,y,z) surface representation contains at most one depth value (z direction) for every point in (x, y) plane. Two...

Face recognition based on 3D surface matching is promising for overcoming some of the limitations current 2D image-based face systems. The shape generally invariant to pose and lighting changes, but not non-rigid facial movement, such as expressions. Collecting storing multiple templates account various expressions each subject in a large database practical. We propose modeling scheme match 2.5D scans presence both deformations changes (multiview) template. A hierarchical geodesic-based...

The performance of face recognition systems that use two-dimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. We are developing a multi-view system utilizes three-dimensional (3D) information about the to make more robust these variations. This work describes procedure for constructing database 3D models matching this 2.5D scans which captured from different views, using coordinate invariant properties surface. simplified (x, y, z)...

Human facial images provide the demographic information, such as ethnicity and gender. Conversely, gender also play an important role in face-related applications. Image-based identification problem is addressed a machine learning framework. The Linear Discriminant Analysis (LDA) based scheme presented for two-class (Asian vs. non-Asian) classification task. Multiscale analysis applied to input images. An ensemble framework, which integrates LDA face at different scales, proposed further...

Current two-dimensional face recognition approaches can obtain a good performance only under constrained environments. However, in the real applications, appearance changes significantly due to different illumination, pose, and expression. Face recognizers based on representations of input images have sensitivity these variations. Therefore, combination classifiers which integrate complementary information should lead improved classification accuracy. We use sum rule RBF-based integration...

Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D data has potential to handle multiview matching. A feature extractor based on directional maximum is proposed estimate nose tip location and angle simultaneously. profile model represented by subspaces used select best candidates for tip. Assisted a statistical model, multimodal scheme presented extract eye mouth corners. Using automatic...

An independent component analysis (ICA) based approach is presented for learning view-specific subspace representations of the face object from multiview examples. ICA, its variants, namely (ISA) and topographic (TICA), take into account higher order statistics needed view characterization. In contrast, principal (PCA), which de-correlates second moments, can hardly reveal good features characterizing different views, when training data comprises a mixture examples done in an unsupervised...

The performance of face recognition systems that use two-dimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. We are developing a multi-view system utilizes three-dimensional (3D) information about the to make more robust these variations. This work describes procedure for constructing database 3D models matching this 2.5D scans which captured from different views, using coordinate invariant properties surface. simplified (x, y, z)...

In this work, we demonstrate a sheathless acoustic fluorescence activated cell sorting (aFACS) system by combining elasto-inertial focusing and highly focused traveling surface wave (FTSAW) to sort cells with high recovery rate, purity, viability. The microfluidic device utilizes particle align in single file for improving accuracy efficiency without sample dilution. Our can effectively focus 1 μm particles which represents the general minimum size majority of applications. Upon...

Using deep neural networks to solve PDEs has attracted a lot of attentions recently.However, why the learning method works is falling far behind its empirical success.In this paper, we provide rigorous numerical analysis on Ritz (DRM) [48] for second order elliptic equations with Neumann boundary conditions.We establish first nonasymptotic convergence rate in H 1 norm DRM using ReLU 2 activation functions.In addition providing theoretical justification DRM, our study also shed light how set...

Current two-dimensional image based face recognition systems encounter difficulties with large facial appearance variations due to the pose, illumination and expression changes. Utilizing 3D information of human faces is promising handle pose lighting variations. While shape a does not change head (rigid) changes, it invariant non-rigid movement evolution, such as expressions aging effect. We propose surface matching framework take into account both rigid match 2.5D model. The registration...

The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a system utilizes three-dimensional shape information to make the more robust arbitrary view, For each subject, 3D model is constructed by integrating several 2.5D scans from different viewpoints. A scan composed one range image along with registered 2D color image. engine consists two components, surface matching...

In recent years, physical informed neural networks (PINNs) have been shown to be a powerful tool for solving PDEs empirically.However, numerical analysis of PINNs is still missing.In this paper, we prove the convergence rate second order elliptic equations with Dirichlet boundary condition, by establishing upper bounds on number training samples, depth and width deep achieve desired accuracy.The error decomposed into approximation statistical error, where given in C 2 norm ReLU 3 (deep...

We present a microfluidic device for high-throughput, size-based bacterial sorting from whole blood in non-Newtonian fluids, enabling rapid and simple purification of bacteria more accurate molecular diagnosis bloodstream infection.

Inertial microfluidics has been proven to be a powerful tool for high-throughput, size-based cell sorting in diverse biomedical applications. In the case of Candida-related sepsis, Candida species and major blood cells (i.e., red white cells) have size distribution 3–5 6–30 μm, respectively. To effectively retrieve majority remove most interfering accurate molecular analysis, inertial micron-sized biological particles with submicron difference is highly desired, but far unexplored till now....

In this paper, a method to fast classify (Intradural hemorrhage, epidural and cerebral parenchymal hemorrhage) locate the bleeding points by using Singularity Expansion Method (SEM) Backpropagation (BP) neural network optimized genetic algorithm (GA) Sparrow Search Algorithm (SSA) is proposed. simulation model, spot with radius of 3 mm successfully identified approach. The test accuracy in for both bleeding's localization classification are 98.0% 97.4%, respectively. Head phantoms that have...

In this paper, Adaboost and SVM are applied to SAR ATR (synthetic aperture radar automatic target recognition) respectively. The performance of these two classifiers is analyzed compared in aspect window with different size. First, PCA (principal component analysis) features selected as feature, then Adaboost.Ml used classify, Experimental results based on MSTAR data sets show that classifier has better robustness than