Results 71 to 80 of about 4,989 (196)
High Voltage, EarlyView.ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley +1 more source
High Voltage, EarlyView.ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou +7 more
wiley +1 more source
British Journal of Psychology, EarlyView.Abstract Adopting physical expressions of emotion has feedback effects on individuals' mood and behaviour; for example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power. However, postural feedback paradigms almost exclusively use deliberate, active posture manipulations, which ...
Soren Wainio‐Theberge, Jorge Armony
wiley +1 more source
Experiments On Iris Classification And Retrieval With Fixed Number Of Surf Keypoints And Texture Features [PDF]
Memoirs of the Scientific Sections of the Romanian Academy, 2023 The paper discusses the results obtained in some experiments made on iris images classification using texture features and SURF (Speeded Up Robust Features) keypoints.
Ioan Păvăloi +2 more
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MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild
Computer Graphics Forum, EarlyView.Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech +4 more
wiley +1 more source
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
2025 IEEE/CVF International Conference on Computer Vision (ICCV)Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailable. This gap is addressed by leveraging sketches, a popular form of human expression, providing a source-free alternative.
Subhajit Maity +5 more
openaire +2 more sources
Story2Board: A Training‐Free Approach for Expressive Visual Storytelling
Computer Graphics Forum, EarlyView.Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich +4 more
wiley +1 more source
Robo‐Saber: Generating and Simulating Virtual Reality Players
Computer Graphics Forum, EarlyView.Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
Reducing Keypoint Database Size [PDF]
, 2009 Keypoints are high dimensional descriptors for local features of an image or an object. Keypoint extraction is the first task in various computer vision algorithms, where the keypoints are then stored in a database used as the basis for comparing images or image features. Keypoints may be based on image features extracted by feature detection operators
Shahar Jamshy +2 more
openaire +1 more source
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Computer Graphics Forum, EarlyView.Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source