Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation
Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation explores Develop efficient and interpretable gaze estimation for edge devices using landmark-based geometric features, outperforming traditional methods in cross-domain generalization.. Commercial viability score: 7/10 in Computer Vision.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisDeployment-Oriented Session-wise Meta-Calibration for Landmark-Based Webcam Gaze TrackingViability: 3.0
- Builds On ThisDo Foundation Models Know Geometry? Probing Frozen Features for Continuous Physical MeasurementViability: 2.0
- Prior WorkGazeOnce360: Fisheye-Based 360° Multi-Person Gaze Estimation with Global-Local Feature FusionViability: 7.0
- Prior WorkGGPT: Geometry Grounded Point TransformerViability: 7.0
- Prior WorkGAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models