Search · four archives
Search · four archives
23 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…
Alan Yuille, Daniel Kersten
This document presents an introduction to computer vision, and its relationship to Cognitive Science, from the perspective of Bayes Decision Theory (Berger 1985). Computer vision is a vast and complex field, so this overview has a narrow scope and provides a theoretical lens which captures many key concepts. BDT is…
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…
Sukana Zulfqar, Sadia Saeed, M. Azam Zia, Anjum Ali + 2 more
Object detection in video and image surveillance is a well-established yet rapidly evolving task, strongly influenced by recent deep learning advancements. This review summarises modern techniques by examining architectural innovations, generative model integration, and the use of temporal information to enhance…
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…
Aya Kaysan Bahjat
As multimedia content is quickly growing, the field of facial recognition has become one of the major research fields, particularly in the recent years. The most problematic area to researchers in image processing and computer vision is the human face which is a complex object with myriads of distinctive features that…
Rahele Allahverdi, Mohammad Mahdi Dehshibi, Azam Bastanfard, Daryoosh Akbarzadeh
Solving pattern recognition problems using imbalanced databases is a hot topic, which entices researchers to bring it into focus. Therefore, we consider this problem in the application of Sassanid coins classification. Our focus is not only on proposing EigenCoin manifold with Bhattacharyya distance for the…
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…
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…
Matteo Dunnhofer, Jean de dieu Uwisengeyimana, Kohitij Kar
How does motion contribute to robust object perception when appearance cues are unreliable? In natural scenes, camouflage, clutter, and occlusion can obscure object boundaries in static images, yet humans often resolve these ambiguities once objects move. Here we ask whether modern artificial vision systems capture…
Meng Liu, Lihui Wang
Artificial neural networks (ANNs) have become powerful tools for modeling human perception and hehavior, yet it remains unclear if they resemble the sequential eye movement strategies humans employ during visual processing. Human studies demonstrate that the first two fixations play distinct roles in face processing…
O.V. Levashov, V.F. Safiulina
Key operations in modeling visual processing in living systems are those that process a pattern as a holistic object, for example, in pattern recognition to ensure invariance to translation and rotation. In this article, we describe a neural module we synthesized for moving a pattern along a cortical layer without…
Ludovica de Paolis, Marco Baroni, Alessandro Laio, Eugenio Piasini
In computational vision science, Convolutional Neural Networks (CNNs) have emerged as a popular model of biological vision because of the alignment they can exhibit with neural and behavioral data in humans and animals. However, it remains unclear to what extent this alignment persists for visual tasks that extend…
Bimal Kumar Ray
The existing object classification techniques based on descriptive features rely on object alignment to compute the similarity of objects for classification. This paper replaces the necessity of object alignment through sorting of feature. The object boundary is normalized and segmented into approximately convex…
Jong Woo Nam, Amanda S. Rios, Bartlett W. Mel
Object recognition (OR) in humans relies heavily on shape cues and the ability to recognize objects across varying 3D viewpoints. Unlike humans, deep networks often rely on non-shape cues such as texture and background, leading to vulnerabilities in generalization and robustness. To address this gap, we introduce…
Filip Rybansky, Sadegh Rahmaniboldaji, Andrew Gilbert, Frank Guerin + 2 more
Humans recognize everyday actions without conscious effort despite challenges such as poor viewing conditions and visual similarity between actions. Yet the visual features contributing to action recognition remain unclear. To address this, we combined semantic modelling and feature reduction methods to identify…
Netta Ollikka, Anni Bergström, Markku Kilpeläinen, Stéphane Deny
Mounting evidence suggests that recurrent processes in the visual system play a critical role during challenging recognition tasks. Backward masking techniques have traditionally been used as a non-invasive method for studying recurrent processes: A mask follows the target image, presumably disrupting ongoing…
Leyla Loued-Khenissi, Elsa Scialom, Antoine Lutti, Michael Herzog + 1 more
Cortical visual prostheses aim to restore sight by stimulating the visual cortex, yet current approaches remain limited. Implants targeting V1 typically evoke isolated phosphenes that do not support coherent object recognition. We asked whether mid-level visual features, specifically curve segments associated with area…
Authors not listed
Large Language Models have demonstrated impressive capabilities in natural language understanding and processing. However, as AI and LLMs continue to evolve, their ability to accurately and efficiently interpret data from scientific figures and plots remains obscure. In this study, we test and evaluate the ability of…
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…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
The capacity to pattern biomolecules within microfluidic devices expands the scope of microfluidic technologies. In such patterned systems, surface-bound components remained localized, while the microfluidic network supplies reagents and removes waste products. This approach has enabled continuous protein expression…