Overview of Bi3D: An Innovative Approach to Depth Estimation
Bi3D is a new framework for estimating depth in a variety of images and videos. This framework uses a series of binary classifications to determine whether an object is closer or farther from the viewer than a predetermined depth level. Rather than simply testing whether objects are at a specific depth, as traditional stereo methods do, Bi3D utilizes advanced algorithms to classify objects as being closer or farther away than a certai
HITNet is a powerful framework for neural network based depth estimation.
Overcoming Computational Disadvantages
Traditional methods for depth estimation in images have to operate on a 3D volume which can be computationally intensive. However, HITNet integrates image warping, spatial propagation, and a high-resolution initialization step into the network architecture to overcome these disadvantages.
The Basic Principle
The approach used by HITNet is to represent image tiles as planar patch
Overview of Spatial Propagation
Spatial propagation is a mechanism used in computer vision tasks to help understand and fill in missing information in an image. One example of where spatial propagation is used is in depth completion tasks. In depth completion, the goal is to fill in missing depth information in an image, so that the image appears more complete and visually appealing. Spatial propagation helps by using non-local displacement and affinity information to guide how the depth inform