Predicting depth is an essential component in understanding the 3D geometry of a scene. While for stereo images local correspondence suffices for estimation, finding depth relations from a single image is less straightforward, requiring integration of both global and local information from various cues. Moreover, the task is inherently ambiguous, with a large source of uncertainty coming from the overall scale. In this paper, we present a new method that addresses this task by employing two deep network stacks: one that makes a coarse global prediction based on the entire image, and another that refines this prediction locally. We also apply a scale-invariant error to help measure depth relations rather than scale.
how to extract depth from a single image and give me matlab code
3D photo depth map generator
Join Stack Overflow to learn, share knowledge, and build your career. Connect and share knowledge within a single location that is structured and easy to search. I need to reconstruct a depth map from an image sequence taken by a single static camera of a moving object. As far as I understand I can calculate the depth of a point found in two images using a stereo camera using the intercept theorem.
Image and Depth from a Conventional Camera with a Coded Aperture
We use large Internet image collections, combined with 3D reconstruction and semantic labeling methods, to generate large amounts of training data for single-view depth prediction. Abstract Single-view depth prediction is a fundamental problem in computer vision. Recently, deep learning methods have led to significant progress, but such methods are limited by the available training data. We propose to use multi-view Internet photo collections, a virtually unlimited data source, to generate training data via modern structure-from-motion and multi-view stereo MVS methods, and present a large depth dataset called MegaDepth based on this idea.
Join Stack Overflow to learn, share knowledge, and build your career. Connect and share knowledge within a single location that is structured and easy to search. I'm looking for a simple algorithm that its input is a single image and that's it.