Depth-layer Architecture Reconstruction From Image Collections

The depth for each pixel in a base image is estimated from the camera’s focus to the object’s surface by measuring the similarity between the base image and the neighboring images..

The lasers are configured to make the epipolar segments disjoint, which prevents ambiguity in dot/laser assignment (Figure 3). We use a dot detection algorithm similar to the

7. Dynamic 3D Depth Keying and Shadow Interaction One application particularly well suited for ToF-cameras is real-time depth keying in dynamic 3D scenes. A feature commonly used in

We formulate a computationally efficient warp function for mesh-based estimation of depth which is based on a well known image-registration approach and adapted to the problem of

While a high-quality 3D display is not available, we render the 3D scene layer by layer on a 2D display, and shoot each rendered layer with a physical camera whose focus is adjusted

Farag from the University of Louisville consider the 3D models captured with a commodity low-cost depth scanner as non-rigid, deformed objects, and propose an approach based on

Therefore, this section provides a quantitative evaluation of the accuracy of depth image based 3D difference detection with different setups (image based camera pose estimation with

In the wave-field approach [Loh78, BÖ10, OYO08], 3D scenes are sliced into depth layers parallel to the hologram and light scattered by the scene is propagated from one layer to