Mayachitra Xross Registration (MX Reg)
Transforming Sight into Site
Building Next Generation Camera Calibrators to empower
- AR/VR
- Autonomous Driving
- NeRFs
- Gaussian Spatting
- SLAM
Mayachitra has pioneered robust image-to-image registration and geo-registration methods with sub-centimeter geo-registration accuracy. At Mayachitra, we specialize in developing cutting-edge computer vision technologies that enable automated analysis of visual content. Our solutions are tailored to meet the demands of commercial, scientific, and defense sectors.
Our expertise spans various industries, enabling businesses to unlock the full potential of their image-based information. This proprietary software has been licensed to users in remote sensing (e.g., forest surveillance, precision agriculture industry) and in security/surveillance applications.
Image Registration
Components Customization
Platform Independent
Recent Projects
3D Reconstruction from Internet Images
Our cutting-edge algorithms enable 3D reconstruction from internet-sourced images, transforming 2D visuals into highly detailed, interactive 3D models. Using a combination of neural rendering and multi-view stereo techniques, we can recreate environments with precise depth information, which is critical for industries such as urban planning, virtual tourism, and construction monitoring. This solution has been effectively applied in large-scale city modeling and heritage preservation.
Image Matching
Image matching is at the heart of numerous computer vision tasks. Our technology excels at finding correspondences between multiple images, enabling accurate alignment even in complex or dynamic environments. With a focus on precision, speed, and scalability, our image matching solutions are tailored for applications like autonomous navigation, augmented reality, and industrial inspection, where matching consistency is critical for real-time analysis.
3D Models for Naval Systems
Our team has developed specialized 3D modeling capabilities for naval systems, enabling real-time, highly detailed representations of critical infrastructure. These models are used in training simulations, threat analysis, and operational planning. We utilize a combination of LiDAR data, aerial imagery, and advanced computational methods to ensure that these models are not only accurate but also capable of supporting complex scenario analyses and decision-making processes.
