Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Zhengyuan Zhang, Ping Chen, Yajun Liu, Yi He + 1 more
Multi-visual pattern mining plays an important role in image classification, retrieval, and other fields. A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability…
Ebru Ayyurek, Matteo Marcuzzo, Alessandro Zangari, Lorenzo Giudice + 5 more
Modern textile industries frequently apply patterns, such as brand logos or motifs, in near-regular arrangements to create visually appealing products. Consequently, the application of computer vision for pattern recognition is highly valuable for automating production chains and reducing waste. In this work, we…
Gokcek Kul, Andy J. Wills, John Parkinson
Deep learning models have advanced rapidly, leading to claims that they now match or exceed human performance. However, such claims are often based on closed-set conditions with fixed labels, extensive supervised training, and do not considering differences between the two systems. Recent findings also indicate that…
Eduardo Adán, Antonio Adán, Roberto Vezzani
Several reviews have been published addressing the challenges of waste collection and recycling across various sectors, including municipal, industrial, construction, and agricultural domains. These studies often emphasize the role of existing technologies in addressing recycling-related issues. Among the diverse range…
P. Shanthi, V. Manjula
The growing demand of smart surveillance systems necessitates the accurate and real-time detection of weapons and face recognition with robustness against occlusion, illumination changes, and complex backgrounds. Existing techniques based on standalone CNN or transformer architectures are less effective in capturing…
Fabio Neves Souza, Adedayo Michael Awoniyi, Rodrigo Dalvit Carvalho da Silva, Nivison Nery Jr + 9 more
Effective management of rodent pests necessitates efficient population surveillance. Many of the available methods currently used for estimating rodent populations are either costly or time-intensive. Rodent trapping demands significant resources, while tracking plates (TP) require high technical expertise and weeks to…
Héctor Guillen-Bonilla, José Trinidad Guillen-Bonilla, Maricela Jiménez-Rodríguez, Alex Guillen-Bonilla + 4 more
In this paper, an RGB image with $S$ is separated by its channels, obtaining an image in each color channel $S_{R}$, $S_{G}$ and $S_{B}$. The Vectorial Image Representation on the Texture Space (VIR-TS) transform is calculated for each channel; ergo, each image is represented with a given vector, $S_{R}\rightarrow…
Di Xue, Hongyu Liu, Yingying Zhang, Feng Ding + 6 more
Machine vision systems are crucial in intelligent scenarios, but actual image acquisition is frequently compromised by the inadequate proficiency of photosensors in photoadaptation. Inspired by biological vision, neuromorphic synaptic phototransistors endowed with photoadaptive capabilities have emerged as a…
Abror Shavkatovich Buriboev, Akhram Nishanov, Shuxrat Isroilov, Inomjon Narzullaev + 7 more
Accurate classification of pollen grains in microscopic images remains challenging because of noise, structural variability, background complexity, weak texture, and intra-class similarity. To address these issues, this study proposes a hybrid framework that integrates contour-signal modeling, spectral-wavelet…
Lalit Pandey, Samantha M. W. Wood, Justin N. Wood, Jens Hjortkjær
Shape perception is central to human vision, but its developmental origins remain unknown. Here we show that shape perception develops from three ingredients: (1) generic fitting systems, (2) embodied visual experiences, and (3) biologically plausible sensors. We first show that generic fitting models (transformers)…
Md Nafiul Islam, J. Lannett Edwards, Robert Burns, Hairong Qi + 2 more
Highlights What are the main findings?1. Computer vision technologies (e.g., YOLO, CNNs, transformers, and 3D imaging) have achieved high accuracy (>90% in many cases) for key cattle health monitoring tasks, including BCS, lameness, weight, estrus, breathing, and behavior detection. 2. A clear evolution is evident from…
Wendy Flores-Fuentes, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, Jesús E. Miranda-Vega
Information theory is the foundation for computer vision and image processing across diverse applications. It constitutes the application of sophisticated mathematical principles to electrical engineering development for advanced research in vision systems and machine learning. Within this field of study, 3D visual…
Rakhi Issrani, Hafiz Muhammad Zeeshan, Abid Iqbal, Shahzad Ahmad + 3 more
Computer vision, enabled by machine learning and image processing techniques, plays a crucial role in healthcare by facilitating the analysis of medical images such as magnetic resonance imaging, computed tomography and X-rays. It supports disease diagnosis, treatment planning, telemedicine and remote patient…
Baingio Pinna, Daniele Porcheddu, Jurģis Šķilters, Pierluigi Zoccolotti
Background: By exploring the principles of Gestalt psychology, the neural mechanisms of perception, and computational models, scientists aim to unravel the complex processes that enable us to perceive a coherent and organized world. This multidisciplinary approach continues to advance our understanding of how the brain…
Dražen Domijan
The representational framework assumes that surface representation and object recognition are fundamentally different processes that require dedicated cortical circuitry to implement their specific computational goals (, ). Surface representation is formed in V1, V2, and V4 and it involves processes Marr referred to as…