Latitude Projection

Latitude projection, or more broadly, spherical projection, is a technique transforming data from a 3D spherical surface onto a 2D plane for easier processing and analysis. Current research focuses on improving the accuracy and efficiency of this transformation, particularly within computer vision applications like gait recognition, semantic segmentation of panoramic images, and object tracking using omnidirectional cameras. This involves developing novel algorithms, such as those incorporating transformers or employing robust observers, to mitigate distortions and enhance feature extraction from the projected data. These advancements are significant for improving the performance of various computer vision systems and enabling more accurate and robust analysis of spherical data across diverse fields.