Nettet1. mar. 2024 · Godard et al. [15] further improved the binocular image depth estimation method by reconstructing the left and right images at the same time, and proposed the left and right disparity consistent ... Nettet31. mai 2024 · The disparity smoothness and left–right consistency are both introduced to improve the loss function and promising results are achieved. Fig. 2 Architecture of …

Dual CNN Models for Unsupervised Monocular Depth Estimation

Nettet13. sep. 2016 · To overcome this problem, we propose a novel training loss that enforces consistency between the disparities produced relative to both the left and right images, leading to improved performance and … NettetThe left-right consistency loss forms the gist of the novel concept introduced in the paper. In essence, it evaluates the difference between the left disparity map and the … literacy 意味

Unsupervised Monocular Depth Estimation with Left …

Nettetleft image using the predicted disparity) matches the right image. Later on, Godard et al. [6] extended the idea by enforcing a left-right consistency that makes the left-view disparity map consistent with the right-view disparity map. The unsupervised training of our model is based on [6]. Given a left view as input, the model in [6] outputs two NettetLeft Right Consistency Loss: To maintain the estimated left disparity map dland right disparity map drto be consistent, the L1 term penalties on estimated disparities … NettetThe third component is Left-Right Disparity Consistency Loss ensures coherence between disparities by making the left-view disparity map equal to the projected right-view disparity map as described above. The loss components are summed up with weights. The loss was calculated at each output scale which improves training speed … lite radio stations online