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Diego Thomas

7 accepted papers

2025

ProbeSDF: Light Field Probes For Neural Surface Reconstruction

CVPR 2025poster

SDF-based differential rendering frameworks have achieved state-of-the-art multiview 3D shape reconstruction. In this work, we re-examine this family of approaches by minimally reformulating its core appearance model in a way that simultaneously yields faster computation and increased performance. T…

Cited by 0SourcePDFScholar
2024

Two-stage pose optimization algorithm using color information for underwater SLAM with light-sectioning-based 3D scanning method

IROS 2024poster

The demand for 3D shape measurement of underwater scene is increasing in various applications. Especially, simultaneous localization and mapping (SLAM) technique utilizing remotely operated vehicle (ROV) attached with 3D sensors has been intensively researched. This paper focuses on solving pose opt…

Cited by 0SourceScholar
2022

Deep Gesture Generation for Social Robots Using Type-Specific Libraries

IROS 2022poster

Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech more lively but also contain semantic meaning that helps to stress important information in the discussion. In the field of robotics, giving conversational agents (…

Cited by 6SourceScholar
2021

Self-calibrated dense 3D sensor using multiple cross line-lasers based on light sectioning method and visual odometry

IROS 2021poster

Among various 3D capturing systems, since the system with line lasers based on the light sectioning method is simple and accurate, it has widely attracted many developers and used for many purposes. In addition, there is no need to synchronize the camera and the laser and also the configuration of t…

Cited by 12SourceScholar
2020

TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell

CVPR 2020poster

Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. Nevertheless, with the help of convolutional neural networks (CNN) and prior knowledge on the 3D human body, it is possible to overcome such ambiguities to recover detailed 3D shapes of human bodies from sing…

Cited by 48PDFcodeScholar
2018

Live Structural Modeling Using RGB-D SLAM

ICRA 2018poster

This paper presents a method for localizing primitive shapes in a dense point cloud computed by the RGB-D SLAM system. To stably generate a shape map containing only primitive shapes, the primitive shape is incrementally modeled by fusing the shapes estimated at previous frames in the SLAM, so that…

Cited by 7SourceScholar
2016

Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture

CVPR 2016poster

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our framework is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's head. Anyone's head can be instantly reconstructed and his facial…

Cited by 32PDFScholar