The field of 3D computer vision is rapidly expanding, with a growing number of applications emerging for 3D world understanding and interpretation. Modern trends in extended reality (XR), metaverse, digital twins, the automotive industry, and AR/VR clearly indicate that efficient machine learning, computer vision, and data processing solutions have a high demand in the 3D domain.

It-Jim’s 3D Computer Vision Toolkit: Sensors and Techniques

At It-Jim, we have a team of experts with strong backgrounds in signal processing and physics, providing us with a deep understanding of 3D data and its peculiarities and limitations. We are equipped to work with a broad range of sensors:

  • stereo cameras: iPhone cameras, depth API; industrial stereo cameras;
  • True Depth cameras: high-resolution IR sensor specifically used on iOS
  • LiDARs: from mobile LiDAR on iPhone to expensive industrial instruments
  • multi-camera setups.

Our expertise in 3D computer vision enables us to analyze various data from multi-sensor sources:

  • image stereo pairs and depth maps
  • multiple view mono RGB data
  • 3D point clouds
  • 3D meshes.

By leveraging these different sources of data, we are able to provide our clients with accurate and comprehensive insights tailored to their specific needs. Moreover, our team can not only find the best solution for efficient 3D data processing but also help with a proper hardware selection and setup to ensure the maximum gain for your business.

How Can Your Business Benefit from AI Solutions for 3D Data Processing?

Looking to take your business to the next level? AI solutions for 3D data processing can help you do just that. Here are some typical business cases where 3D computer vision can make all the difference:

  1. Digital twins: 3D computer vision can create highly detailed digital twins of real-world objects and environments, which can be used for predictive maintenance, equipment testing, and improving operational efficiency.

  3. Virtual and augmented reality: By combining 3D computer vision with AR/VR technologies, you can create immersive and interactive experiences for your customers. For example, a furniture retailer could use AR to allow customers to see how different pieces of furniture would look in their homes. You can also use 3D computer vision in education to create immersive training experiences for students and professionals in various fields, such as medicine, engineering, and architecture.

  5. Medical imaging: With 3D computer vision, you can create highly detailed 3D models of organs, tissues, and other structures. This can help doctors and researchers to understand diseases better and develop new treatments, and it can also guide surgical procedures and improve patient outcomes.

  7. Virtual try-on: 3D computer vision allows for highly realistic virtual try-on experiences, helping customers to make more informed purchasing decisions. By scanning the customer’s body and clothing, you can generate a 3D model that shows how the clothing will fit and look on the customer, allowing them to make more informed purchasing decisions.

  9. Autonomous driving: With 3D computer vision, autonomous vehicles can “see” and interpret their surroundings in 3D, allowing them to navigate safely and make decisions in real time.

  11. 3D scanning and modeling: 3D computer vision can scan real-world objects and create highly detailed 3D models for use in film, television, video games, and other forms of entertainment.

  13. Robotics and automation: 3D scene understanding and localization can help robots navigate and operate in complex environments with greater accuracy and efficiency, which can be used in manufacturing, logistics, and other industries.

  15. Real estate and architecture: 3D computer vision can create more accurate and detailed 3D models and reconstructions of buildings and other structures, providing immersive virtual tours, floor and room plans, and better visualization for building designs.

  17. 3D avatars and virtual assistants: human representation in 3D space can improve customer experience by providing personalized and interactive support. By leveraging 3D computer vision and combining several modalities, you can achieve a high level of immersion via the proper application of AI technologies. 

  19. Visual positioning systems (VPS): by using 3D computer vision techniques, VPS can provide accurate and reliable user positioning and navigation in large spaces such as shopping malls, airports, museums, stadiums, parks, and more. All of this can be achieved without GPS, using only a camera of your phone!

If any of these business cases resonate with you, let us know! Our team is ready to develop a solution of any complexity to help your business succeed.

Technologies and Frameworks for 3D Computer Vision

Our team is highly skilled in utilizing various technologies and frameworks to address the unique needs of each project. In this section, we’ll give you a glimpse into the instruments we use to provide the most accurate and efficient 3D computer vision solutions for our clients:

  • Traditional 3D CV: Open3D, OpenCV, OpenSFM, CGAL, COLMAP, OpenMVG, OpenMVS, MVE, MVS texturing, various SLAM solutions
  • Deep learning 3D: NeRFStudio, PyTorch3D, Stable DreamFusion
  • 3D software: Unity, Blender, MeshLab
  • 3D rendering (programmatic): OpenGL, Three.JS, Open3D, Matplotlib
  • Mobile: ARCore, ARKit, SceneKit, RealityKit, RoomPlan API

What are the Typical 3D Computer Vision Tasks?

From creating digital twins and virtual try-on experiences to enabling autonomous driving and precise robotic navigation, 3D computer vision has already revolutionized many industries. But how exactly do AI-powered 3D data processing solutions achieve these remarkable feats? Here are some of the typical tasks that our team can perform to extract valuable insights and enhance the visual quality of your 3D data:

  • 3D reconstruction (SfM)
  • Simultaneous localization and mapping (SLAM)
  • 3D meshing
  • 3D mesh texturing 
  • Texture atlases packing and compression
  • Point cloud processing (densification, alignment, segmentation)
  • 3D object detection and tracking
  • 3D object segmentation
  • Sensor fusion 
  • Visual localization (VPS)
  • 3D mesh simplification

Our team stays up-to-date on the newest advancements and uses top-of-the-line sensors and data analysis techniques to deliver the best possible solutions. Don’t hesitate to get in touch with us to see how we can help you reach your 3D computer vision goals!

3D Computer Vision