Tootfinder

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Tanjil Hasan Sakib, Samia Jahan Mojumder, Rajan Das Gupta, Md Imrul Hasan Showmick, Md. Yeasin Rahat, Md. Jakir Hossen
https://arxiv.org/abs/2506.09153

Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Real-time face orientation recognition is a cutting-edge technology meant to track and analyze facial movements in virtual environments such as online interviews, remote meetings, and virtual classrooms. As the demand for virtual interactions grows, it becomes increasingly important to measure participant engagement, attention, and overall interaction. This research presents a novel solution that leverages the Media Pipe Face Mesh framework to identify facial landmarks and extract geometric dat…

Robust signal decompositions on the circle
Aral Kose, Daniel Liberzon
https://arxiv.org/abs/2507.07007 https://arxiv.org/pdf/2507.070…

Robust signal decompositions on the circle
We consider the problem of decomposing a piecewise constant function on the circle into a sum of indicator functions of closed circular disks in the plane, whose number and location are not a priori known. This represents a situation where an agent moving on the circle is able to sense its proximity to some landmarks, and the goal is to estimate the number of these landmarks and their possible locations -- which can in turn enable control tasks such as motion planning and obstacle avoidance. Mo…

A Multi-view Landmark Representation Approach with Application to GNSS-Visual-Inertial Odometry
Tong Hua, Jiale Han, Wei Ouyang
https://arxiv.org/abs/2508.05368 https://

A Multi-view Landmark Representation Approach with Application to GNSS-Visual-Inertial Odometry
Invariant Extended Kalman Filter (IEKF) has been a significant technique in vision-aided sensor fusion. However, it usually suffers from high computational burden when jointly optimizing camera poses and the landmarks. To improve its efficiency and applicability for multi-sensor fusion, we present a multi-view pose-only estimation approach with its application to GNSS-Visual-Inertial Odometry (GVIO) in this paper. Our main contribution is deriving a visual measurement model which directly assoc…

I have been traveling through Greece with a rental car last week, really recommended, mixing little villages along the coastline with classic landmarks like Delphi and Epidaurus. Also low prices compared with the Netherlands.
#greece #holiday

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan
https://arxiv.org/abs/2507.01909…

Modality Agnostic, patient-specific digital twins modeling temporally varying digestive motion
Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spatial accuracy metrics such as manually identified landmarks, which are challenging to implement for highly mobile gastrointestinal (GI) organs. To address this, patient-specific digital twins (DT) modeling temporally varying motion were created to assess the accuracy of DIR methods. Approach: 21 motion phases simulating digestive GI motion as 4D sequences were generated from static 3D patient scans…

Landmark Detection for Medical Images using a General-purpose Segmentation Model
Ekaterina Stansfield, Jennifer A. Mitterer, Abdulrahman Altahhan
https://arxiv.org/abs/2507.11551 …

Landmark Detection for Medical Images using a General-purpose Segmentation Model
Radiographic images are a cornerstone of medical diagnostics in orthopaedics, with anatomical landmark detection serving as a crucial intermediate step for information extraction. General-purpose foundational segmentation models, such as SAM (Segment Anything Model), do not support landmark segmentation out of the box and require prompts to function. However, in medical imaging, the prompts for landmarks are highly specific. Since SAM has not been trained to recognize such landmarks, it cannot …

🧬 Need a new 3D material? Build it with DNA
#dna

Need a new 3D material? Build it with DNA
When the Empire State Building was constructed, its 102 stories rose above midtown one piece at a time, with each individual element combining to become, for 40 years, the world's tallest building. Uptown at Columbia, Oleg Gang and his chemical engineering lab aren't building Art Deco architecture; their landmarks are incredibly small devices built from nanoscopic building blocks that arrange themselves.

Conformal scalar field theory from Ising tricriticality on the fuzzy sphere
Joseph Taylor, Cristian Voinea, Zlatko Papi\'c, Ruihua Fan
https://arxiv.org/abs/2506.22539

Conformal scalar field theory from Ising tricriticality on the fuzzy sphere
Free theories are landmarks in the landscape of quantum field theories: their exact solvability serves as a pillar for perturbative constructions of interacting theories. Fuzzy sphere regularization, which combines quantum Hall physics with state-operator correspondence, has recently been proposed as a promising framework for simulating three-dimensional conformal field theories (CFTs), but so far it has not provided access to free theories. We overcome this limitation by designing a bilayer qu…

Taking Language Embedded 3D Gaussian Splatting into the Wild
Yuze Wang, Yue Qi
https://arxiv.org/abs/2507.19830 https://arxiv.org/pdf/2507.19830

Taking Language Embedded 3D Gaussian Splatting into the Wild
Recent advances in leveraging large-scale Internet photo collections for 3D reconstruction have enabled immersive virtual exploration of landmarks and historic sites worldwide. However, little attention has been given to the immersive understanding of architectural styles and structural knowledge, which remains largely confined to browsing static text-image pairs. Therefore, can we draw inspiration from 3D in-the-wild reconstruction techniques and use unconstrained photo collections to create a…

Point of Interest Recommendation: Pitfalls and Viable Solutions
Alejandro Bellog\'in, Linus W. Dietz, Francesco Ricci, Pablo S\'anchez
https://arxiv.org/abs/2507.13725

Point of Interest Recommendation: Pitfalls and Viable Solutions
Point of interest (POI) recommendation can play a pivotal role in enriching tourists' experiences by suggesting context-dependent and preference-matching locations and activities, such as restaurants, landmarks, itineraries, and cultural attractions. Unlike some more common recommendation domains (e.g., music and video), POI recommendation is inherently high-stakes: users invest significant time, money, and effort to search, choose, and consume these suggested POIs. Despite the numerous researc…

Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
Taewon Kang, Ji-Wook Kwon, Il Bae, Jin Hyo Kim
https://arxiv.org/abs/2507.19100 https://

Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
Localization of mobile robots is crucial for deploying robots in real-world applications such as search and rescue missions. This work aims to develop an accurate localization system applicable to swarm robots equipped only with low-cost monocular vision sensors and visual markers. The system is designed to operate in fully open spaces, without landmarks or support from positioning infrastructures. To achieve this, we propose a localization method based on equilateral triangular formations. By …

Evaluation of facial landmark localization performance in a surgical setting
Ines Frajtag, Marko \v{S}vaco, Filip \v{S}uligoj
https://arxiv.org/abs/2507.18248 https://

Evaluation of facial landmark localization performance in a surgical setting
The use of robotics, computer vision, and their applications is becoming increasingly widespread in various fields, including medicine. Many face detection algorithms have found applications in neurosurgery, ophthalmology, and plastic surgery. A common challenge in using these algorithms is variable lighting conditions and the flexibility of detection positions to identify and precisely localize patients. The proposed experiment tests the MediaPipe algorithm for detecting facial landmarks in a …