| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.]. |
| Reminder of title: |
Milan, Italy, September 29-October 4, 2024 : proceedings. |
| remainder title: |
ECCV 2024 Workshops |
| other author: |
Del Bue, Alessio. |
| corporate name: |
European Conference on Computer Vision |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
liv, 306 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting -- On Scaling Up 3D Gaussian Splatting Training -- AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic Scaling -- Scalable Indoor Novel-View Synthesis using Drone-Captured 360 Imagery with 3D Gaussian Splatting -- Space3D-Bench: Spatial 3D Question Answering Benchmark -- VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field -- NeRF-Supervised Feature Point Detection and Description -- Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks -- Real-Time 2nd-order Gaze Metrics -- Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction and Real-Time Models for the Raspberry Pi -- Helios: An extremely low power event-based gesture recognition for always-on smart eyewear -- CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation -- Towards Unsupervised Eye-Region Segmentation for Eye Tracking -- Towards Low-power, High-frequency Gaze Direction Tracking with an Event-camera -- Towards Resource-aware Visual Inertial SLAM -- Evaluating Human Pose Estimation Algorithms for Resource-Constrained Smart Eyewear Device -- Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses With TinyissimoYOLO -- Towards Real-Time Online Egocentric Action Recognition on Smart Eye-wear -- High-frequency near-eye ground truth for event-based eye tracking. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-91989-3 |
| ISBN: |
9783031919893 |