Dual-View 3D Reconstruction via Learning Correspondence and Dependency of Point Cloud Regions.

Multi-view 3D reconstruction generally adopts the feature fusion strategy to guide the generation of 3D shape for objects with different views. Empirically, the correspondence learning of object regions across different views enables better feature fusion. However, such idea has not been fully exploited in existing methods.

Accuracy improvement of time-of-flight depth measurement by combination of a high-resolution color camera.

Time-of-flight (ToF) cameras can acquire the distance between the sensor and objects with high frame rates, offering bright prospects for ToF cameras in many applications. Low-resolution and depth errors limit the accuracy of ToF cameras, however. In this paper, we present a flexible accuracy improvement method for depth compensation and feature points position correction of ToF cameras.

Determination and adjustment of optimal defocus level for fringe projection systems.

The sinusoidal fringe pattern is widely used in fringe projection profilometry. Too much or too little defocusing will affect the quality of sinusoidal fringe patterns and consequently jeopardize the accuracy of measurement results. This paper proposes a method to quantify and ascertain the defocus level by simulations and experiments.

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems.

Industrial robots are expected to undertake ever more advanced tasks in the modern manufacturing industry, such as intelligent grasping, in which robots should be capable of recognizing the position and orientation of a part before grasping it. In this paper, a monocular-based 6-degree of freedom (DOF) pose estimation technology to enable robots to grasp large-size parts at informal poses is proposed. A camera was mounted on the robot end-flange and oriented to measure several featured points on the part before the robot moved to grasp it.

Sensor for In-Motion Continuous 3D Shape Measurement Based on Dual Line-Scan Cameras.

The acquisition of three-dimensional surface data plays an increasingly important role in the industrial sector. Numerous 3D shape measurement techniques have been developed. However, there are still limitations and challenges in fast measurement of large-scale objects or high-speed moving objects.

Calibration of line-scan cameras for precision measurement.

Calibration of line-scan cameras for precision measurement should have large calibration volume and be flexible in the actual measurement field. In this paper, we present a high-precision calibration method. Instead of using a large 3D pattern, we use a small planar pattern and a precalibrated matrix camera to obtain plenty of points with a suitable distribution, which would ensure the precision of the calibration results.

Generic precise augmented reality guiding system and its calibration method based on 3D virtual model.

Augmented reality system can be applied to provide precise guidance for various kinds of manual works. The adaptability and guiding accuracy of such systems are decided by the computational model and the corresponding calibration method. In this paper, a novel type of augmented reality guiding system and the corresponding designing scheme are proposed.

A vision-based self-calibration method for robotic visual inspection systems.

A vision-based robot self-calibration method is proposed in this paper to evaluate the kinematic parameter errors of a robot using a visual sensor mounted on its end-effector. This approach could be performed in the industrial field without external, expensive apparatus or an elaborate setup. A robot Tool Center Point (TCP) is defined in the structural model of a line-structured laser sensor, and aligned to a reference point fixed in the robot workspace.