Michaël Lalaina Ramamonjisoa

Title: Michaël Lalaina Ramamonjisoa: Innovator in Image Depth Prediction

Introduction

Michaël Lalaina Ramamonjisoa is a notable inventor based in Paris, France. He has made significant contributions to the field of image processing, particularly in depth prediction models. His innovative approach leverages advanced techniques to enhance computational efficiency.

Latest Patents

Michaël holds a patent for "Image depth prediction with wavelet decomposition." This patent describes a depth prediction model designed to predict a depth map from an input image. The model utilizes wavelet decomposition to minimize computations, making it highly efficient. It consists of several encoding layers, a coarse prediction layer, multiple decoding layers, and inverse discrete wavelet transforms (IDWTs). The encoding layers process the input image and downsample it into feature maps, including a coarse feature map. The coarse depth prediction layer then generates a coarse depth map, which is refined by the decoding layers that predict wavelet coefficients. Finally, the IDWTs upsample the coarse depth map to match the resolution of the input image.

Career Highlights

Michaël is currently employed at Niantic Spatial, Inc., where he continues to develop innovative solutions in spatial computing. His work focuses on enhancing the capabilities of image processing technologies, contributing to advancements in various applications.

Collaborations

Michaël collaborates with talented individuals such as Michael David Firman and James Watson. Their combined expertise fosters a creative environment that drives innovation in their projects.

Conclusion

Michaël Lalaina Ramamonjisoa is a pioneering inventor whose work in image depth prediction showcases his commitment to advancing technology. His contributions are shaping the future of image processing and spatial computing.