We propose a fast and generalizable solution to Multiview Photometric Stereo (MVPS), called MVPSNet. The key our approach is feature extraction network that effectively combines images from the same view captured under multiple lighting conditions extract geometric features shading cues for stereo matching. demonstrate these features, termed 'Light Aggregated Feature Maps' (LAFM), are effective matching even in textureless regions, where traditional multi-view methods often fail. Our method...

We present a new approach, EgoGlass, towards egocentric motion-capture and human pose estimation. EgoGlass is lightweight eyeglass frame with two cameras mounted on it. Our first contribution device that adds next to no extra burden the user dataset of real people doing diverse set actions captured by EgoGlass. Second, we propose utilize body part information for detection - help tackle problems limited coverage self-occlusions caused viewpoint cameras' proximity body. also concept...

Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view inherently limited, while multiple views available in many robotics applications. On the other end of spectrum, video-based full 3D methods require numerous frames perform reconstruction segmentation. With this work we propose Multi-View Stereo (MVS) technique that benefits rich semantic features Segment Anything Model (SAM). This enhanced prediction,...

Recognizing occluded facial expressions in the wild poses a significant challenge. However, most previous approaches rely solely on either global or local feature-based methods, leading to loss of relevant expression features. To address these issues, feature fusion residual attention network (FFRA-Net) is proposed. FFRA-Net consists multi-scale module, and module. The module divides intermediate map into several sub-feature maps an equal manner along channel dimension. Then, convolution...

Low-quality medical ultrasound images have serious spots, noise, and weak borders between similar tissues, which affect the accuracy of segmentation human organs lesions in image to a certain extent. These problems seriously hinder subjective diagnosis doctors intelligent healthcare assisted diagnosis. In this paper, super-resolution approach is proposed based on deep learning that aims upscale prostate transrectal (TRUS) image. The method TRUS dataset, termed (USSR). Firstly, comprises...

Current multimodal fusion models can only accept a speci c number of modal ities and cannot change the input modalities when are missing or added. The overall structure needs to be modi ed in order re data, scalability is poor. Based on this, this paper proposes progressive network that attached pre-trained model. It fuses data independently pre-training model trains jointly with it. By fusing collects relevant information about task fed into focuses each modality selects one as main fused...

We propose a fast and generalizable solution to Multi-view Photometric Stereo (MVPS), called MVPSNet. The key our approach is feature extraction network that effectively combines images from the same view captured under multiple lighting conditions extract geometric features shading cues for stereo matching. demonstrate these features, termed `Light Aggregated Feature Maps' (LAFM), are effective matching even in textureless regions, where traditional multi-view methods fail. Our method...

Aiming at the problems such as large amount of manual checking, influence quality checking on technical level personnel, quantity project and working attitude, drawings progress engineering construction, a method for analyzing PDF based deep learning was proposed. Using artificial intelligence image processing technology to analyze identify drawings, designing automatic efficiency drawing were improved. Among them, analysis mainly includes conversion files into picture files, identification...

During the crop harvesting process, it is important to obtain yield quickly, accurately and in real time accelerate development of smart agriculture. This paper investigated a denoising method applicable impact-type sunflower sensor signal under influence complex noise background pneumatic seed delivery structure for combine harvester. A processing combining complementary ensemble empirical mode decomposition (CEEMD) wavelet threshold (WTD) based on an adaptive capability was proposed by...

Multi-task approaches to joint depth and segmentation prediction are well-studied for monocular images. Yet, predictions from a single-view inherently limited, while multiple views available in many robotics applications. On the other end of spectrum, video-based full 3D methods require numerous frames perform reconstruction segmentation. With this work we propose Multi-View Stereo (MVS) technique that benefits rich semantic features Segment Anything Model (SAM). This enhanced prediction,...

According to the construction requirements of State Grid Corporation substation condition monitoring system, on-site data station is connected main system state evaluation center, and primary equipment completed.However, early traditional not carried out according national network The relevant standards on-line can be accessed into system.Therefore, how standardize in center has become focus a research, This paper first analyzes framework online idea architecture design.In view...