Article
Computer Science, Artificial Intelligence
Mohammed Ayoub Alaoui Mhamdi, Djemel Ziou
Summary: This paper presents a critical points based descriptor for 3 D objects recognition, utilizing a size function to represent critical points and the links between them, and a metric learning method to deal with partial matching problems. Experimental results show that the proposed method performs well in 3 D object recognition.
PATTERN RECOGNITION
(2021)
Article
Multidisciplinary Sciences
Omisa Jinsi, Margaret M. Henderson, Michael J. Tarr
Summary: Poor visual acuity in newborns may have functional advantages, allowing for faster and more accurate learning of basic-level visual object categories, which can also transfer to subordinate-level category learning.
Article
Biology
Svetlana Volotsky, Ohad Ben-Shahar, Opher Donchin, Ronen Segev
Summary: Recognition and categorization of individual objects is a complex computational task, but visual systems can perform it rapidly and accurately. Archerfish, a species that hunts by shooting water at aerial targets, has the ability to recognize natural objects and categorize them into relevant classes. They can also recognize individual objects under different conditions. A computational model based on object features and a machine learning classifier reveals that a small number of features and object contours play a key role in object categorization. Behavioral experiments validate these findings.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2022)
Article
Acoustics
Laura Conover
Summary: This study aimed to explain why some individuals are more successful in learning the sounds of a second language by examining the role of attention in perceptual learning. A group of 57 monolingual English-speaking adults completed a perceptual learning task involving the voicing contrast between Thai /b/ and /p/. Results showed that attentional control was correlated with the ability to learn non-native phoneme contrasts regardless of instruction. Moreover, individuals with high attentional control performed better when given explicit instruction prior to training.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Computer Science, Information Systems
Kapil Juneja
Summary: This paper presents a multi-stage hybrid model to handle challenges of extreme illumination, unequal contrast, and varied poses in face recognition, achieving high accuracy rates compared to traditional methods.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Magdalena Szubielska, Marta Szewczyk, Pawel Augustynowicz, Wojciech Kedziora, Wenke Moehring
Summary: The present study examined adults' strategies of spatial scaling from memory in visual, haptic, and visuo-haptic conditions. The findings suggest that adults consistently employ mental transformation strategies for spatial scaling, regardless of perceptual modality and scaling direction.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Matt D. Anderson, James H. Elder, Erich W. Graf, Wendy J. Adams
Summary: This study tested the space-centered theory by investigating the temporal dynamics of spatial and semantic perception in scene perception. The results challenge the traditional 'bottom-up' views by suggesting that humans depend more on semantic information rather than spatial layout to discriminate spatial structure categories.
Article
Engineering, Electrical & Electronic
Li Feng-Yao, Hu Chang-Hui, Liu Yu
Summary: This paper proposes an illumination invariant measure based on orthogonal triangular with column pivoting (QRCP) decomposition. By generating QRCP coefficients and further correction, it can effectively handle severe illumination variations.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Robotics
Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee
Summary: The study proposes a method for object recognition using topologically persistent features, which outperforms traditional models in recognition performance in unseen environments. Additionally, the proposed method shows relatively stable performance across different environments, while object detection methods exhibit a significant drop in performance.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Review
Engineering, Electrical & Electronic
Danyu Sun, Xixuan Zhao, Jiangming Kan
Summary: This paper investigates the performance of different color descriptors under illumination variation, with the findings that color moment invariants provide the optimal balance between performance and dimensions, and color descriptors derived from physical reflectance models are more suitable for object recognition and image retrieval.
JOURNAL OF SENSORS
(2021)
Article
Computer Science, Artificial Intelligence
Lianbo Zhang, Shaoli Huang, Wei Liu
Summary: In this paper, we propose Sequentially Diversified Networks (SDNs) to enrich representation by promoting diversity while maintaining efficiency. Experimental results demonstrate the effectiveness of SDNs in learning diversified information and achieving state-of-the-art performance.
PATTERN RECOGNITION
(2022)
Article
Biology
Vladislav Ayzenberg, Stella Lourenco
Summary: By comparing infants to computational models, this study sheds light on the origins and mechanisms underlying shape representations. The findings suggest that infants can form robust shape representations based on the skeletal structure when faced with variations in objects.
Article
Engineering, Multidisciplinary
Yuhao Niu, Zhan Gao, Jieming Zhao, Lin Deng, Ye Sa, Shengjia Wang
Summary: In this work, we proposed an improving method that enables imaging through scattering medium under strong background illumination. Our method retrieves the feature and spatial information of the target from a single shot of the camera image without complicated phase-retrieval algorithm. Additionally, our method provides an efficient solution for scattering imaging of wide-spectrum targets, with color information displayed in the multispectral image of the final result.
Article
Multidisciplinary Sciences
Z. Y. Chen, Zheng Zhang, Shengyuan A. Yang, Y. X. Zhao
Summary: The authors establish a unified theory of projective crystal symmetries with time-reversal invariance and construct models for all 458 projective symmetry algebras for the 17 two-dimensional wallpaper groups. They discover three physical signatures resulting from projective symmetry algebras, including the shift of high-symmetry momenta, an enforced nontrivial Zak phase, and a spinless eight-fold nodal point. This work offers a theoretical foundation for the field of artificial crystals and opens the door to a wealth of topological states and phenomena beyond the existing paradigms.
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Chunjie Zhang, Da-Han Wang, Haisheng Li
Summary: The paper introduces a discriminative semantic region selection method for fine-grained recognition (DSRS), which selects image regions and predicts their semantic correlations with classes using pre-trained DCNN models. The joint representations are used for classifier training, and experiments demonstrate the superiority of the method.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2021)
Article
Psychology
Martin Juettner, Dean Petters, Elley Wakui, Jules Davidoff
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE
(2014)
Review
Ophthalmology
Hans Strasburger, Ingo Rentschler, Martin Juettner
Article
Behavioral Sciences
Berthold Langguth, Martin Juettner, Theodor Landis, Marianne Regard, Ingo Rentschler
Article
Multidisciplinary Sciences
Elley Wakui, Martin Juettner, Dean Petters, Surinder Kaur, John E. Hummel, Jules Davidoff
Article
Behavioral Sciences
Martin Juttner, Hans Strasburger, Bernhard Treutwein, Theodor Landis, Ingo Rentschler
Summary: The study suggests that pure alexia and prosopagnosia may involve complementary deficits in instantiation and abstraction during perceptual classification. This explanation is in line with previous distinctions between a predominantly left-hemispheric, abstract-category subsystem and a predominantly right-hemispheric, specific-exemplar subsystem underlying object recognition.
Article
Psychology, Biological
Luc Boutsen, Nathan A. Pearson, Martin Juttner
Summary: Facial disfigurements can influence how observers interact with a person, but do not lead to avoidance responses in covert attention. However, they do have an impact on the holistic processing of facial information.
QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY
(2022)
Article
Psychology, Experimental
Luc Boutsen, Nathan A. Pearson, Martin Juttner
Article
Psychology, Multidisciplinary
Martin Juettner, Elley Wakui, Dean Petters, Jules Davidoff
FRONTIERS IN PSYCHOLOGY
(2016)
Meeting Abstract
Ophthalmology
Martin Juttner, Katherine Quinlan
Meeting Abstract
Ophthalmology
Luc Boutsen, Nathan Pearson, Martin Juttner
Meeting Abstract
Ophthalmology
M. Juettner, E. Wakui, D. Petters, J. Hummel, J. Davidoff
Article
Psychology, Developmental
Martin Juettner, Elley Wakui, Dean Petters, Surinder Kaur, Jules Davidoff
DEVELOPMENTAL PSYCHOLOGY
(2013)
Meeting Abstract
Ophthalmology
M. Juttner, D. Petters, E. Wakui, J. Davidoff
Meeting Abstract
Ophthalmology
M. Juettner, D. Petters, S. Kaur, E. Wakui, J. Davidoff
