We present a method to evaluate stereo camera depth accuracy in human centered applications. It enables the comparison between stereo camera depth resolution and human depth resolution. Our method uses a multilevel test target which can be easily assembled and used in various studies. Binocular disparity enables humans to perceive relative depths accurately, making a multilevel test target appl...

We propose a novel approach for surface finish classification of digitally fabricated structures using an industrial depth camera. Data collected at different viewpoints are jointly processed to derive the spatial distribution features describing reflectance, which is in turn related finish. The can be used classify surfaces according their e.g., assessing homogeneity or conformance. apply meth...

Depth-Image-Based Rendering (DIBR) can synthesize a virtual view image from set of multiview images and corresponding depth maps. However, this requires an accurate map estimation that incurs high compu- tational cost over several minutes per frame in DERS (MPEG-I’s Depth Estimation Reference Software) even by using high-class computer. LiDAR cameras thus be alternative solution to real-time DI...

In this paper, we present a method to calibrate and enhance depth information captured by an infrared (IR)-based time-of-flight video-plus-depth camera called “Kinect camera”. For depth data calibration, we use color and IR images of a chessboard with on-off halogen light sources to calculate camera parameters of the video and IR sensors in the Kinect camera. For depth data enhancement, we intr...

We introduce a digital hologram generation of a real 3D object captured by a depth camera. The depth camera is employing a time multiplexed concept for color and depth image acquisition in a single chip sensor. The 3D information, point cloud, corresponding to the real scene, is extracted from taken image pairs, a gray texture and a depth map by a depth camera. The extracted point cloud is used...