Augmented Reality Technology - SenseTime

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Core Technology
Based on the foundation of proprietary technologies and SenseCore AI infrastructure,
SenseTime has rapidly opened up AI application in multiple vertical scenarioses, and is empowering various industries.
Key Technology
  • 01Lightweight Cross-Platform AR/VR Engine
  • 02Lighting Estimation
  • 03Real-Time Dense 3D Reconstruction
  • 04Structure from Motion (SfM)
  • 05Simultaneous Localization and Mapping (SLAM)
  • 06Flat/3D Object Recognition and Tracking

01 / 06

Lightweight Cross-Platform AR/VR Engine

The lightweight cross-platform AR/VR engine supports multiple platforms, lighting and material models, virtual object sheltering and shadow projection to enable various expression-driven facial animations of avatars.

02 / 06

Lighting Estimation

The lighting estimation subsystem predicts the lighting condition of the scene for realistic rendering of the virtual objects.

03 / 06

Real-Time Dense 3D Reconstruction

Completing dense 3D reconstruction of natural scenes online, the platform supports real-time virtual 3D scene digitization, realistic rendering, shadow carving, and other integration effects on mobiles devices, including sheltering and collision effects, perfectly realizing virtual reality.

04 / 06

Structure from Motion (SfM)

The structure from motion (SFM) system is capable of conducting camera motion recovery and 3D object reconstruction for a sequence of massive images and videos, making it ideal for photo tourism and 3D roaming deployment.

05 / 06

Simultaneous Localization and Mapping (SLAM)

The self-developed, industry-leading visual inertial navigation SLAM system offers real-time 3D object pose estimation and real-time object tracking while simultaneously constructing a 3D geometric map of the scene online. SLAM supports real-time positioning and virtual object integration in real scenes on mobiles platforms, achieving a perfect integration of virtuality and reality.

06 / 06

Flat/3D Object Recognition and Tracking

The advanced flat/3D object recognition and tracking system quickly identify flat and 3D objects to provide stable real-time object tracking.

Technology
  • Lightweight Cross-Platform AR/VR Engine
  • Lighting Estimation
  • Real-Time Dense 3D Reconstruction
  • Structure from Motion (SfM)
  • Simultaneous Localization and Mapping (SLAM)
  • Flat/3D Object Recognition and Tracking

01 / 06

Lightweight Cross-Platform AR/VR Engine

The lightweight cross-platform AR/VR engine supports multiple platforms, lighting and material models, virtual object sheltering and shadow projection to enable various expression-driven facial animations of avatars.

02 / 06

Lighting Estimation

The lighting estimation subsystem predicts the lighting condition of the scene for realistic rendering of the virtual objects.

03 / 06

Real-Time Dense 3D Reconstruction

Completing dense 3D reconstruction of natural scenes online, the platform supports real-time virtual 3D scene digitization, realistic rendering, shadow carving, and other integration effects on mobiles devices, including sheltering and collision effects, perfectly realizing virtual reality.

04 / 06

Structure from Motion (SfM)

The structure from motion (SFM) system is capable of conducting camera motion recovery and 3D object reconstruction for a sequence of massive images and videos, making it ideal for photo tourism and 3D roaming deployment.

05 / 06

Simultaneous Localization and Mapping (SLAM)

The self-developed, industry-leading visual inertial navigation SLAM system offers real-time 3D object pose estimation and real-time object tracking while simultaneously constructing a 3D geometric map of the scene online. SLAM supports real-time positioning and virtual object integration in real scenes on mobiles platforms, achieving a perfect integration of virtuality and reality.

06 / 06

Flat/3D Object Recognition and Tracking

The advanced flat/3D object recognition and tracking system quickly identify flat and 3D objects to provide stable real-time object tracking.

Business
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