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Accurate and practical calibration of a depth and color camera pair

• C. Herrera DanielHerrera, Juho Kannala, Janne Heikkilä
• CAIP
• 2011

We present an algorithm that simultaneously calibrates a color camera, a depth camera, and the relative pose between them. The method is designed to have three key features that no other available… (More)

DT-SLAM: Deferred Triangulation for Robust SLAM

• C. Herrera DanielHerrera, Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkilä
• 2nd International Conference on 3D Vision
• 2014

Obtaining a good baseline between different video frames is one of the key elements in vision-based monocular SLAM systems. However, if the video frames contain only a few 2D feature correspondences… (More)

Depth Map Inpainting under a Second-Order Smoothness Prior

• C. Herrera DanielHerrera, Juho Kannala, Lubor Ladicky, Janne Heikkilä
• SCIA
• 2013

Many 3D reconstruction methods produce incomplete depth maps. Depth map inpainting can generate visually plausible structures for the missing areas. We present an inpainting method that encourages at… (More)

Merging Overlapping Depth Maps into a Nonredundant Point Cloud

• Tomi Kyöstilä, C. Herrera DanielHerrera, Juho Kannala, Janne Heikkilä
• SCIA
• 2013

Combining long sequences of overlapping depth maps without simplification results in a huge number of redundant points, which slows down further processing. In this paper, a novel method is presented… (More)

A Learned Joint Depth and Intensity Prior Using Markov Random Fields

• C. Herrera DanielHerrera, Juho Kannala, Peter F. Sturm, Janne Heikkilä
• International Conference on 3D Vision
• 2013

We present a joint prior that takes intensity and depth information into account. The prior is defined using a flexible Field-of-Experts model and is learned from a database of natural images. It is… (More)

Multi-view Alpha Matte for Free Viewpoint Rendering

• C. Herrera DanielHerrera, Juho Kannala, Janne Heikkilä
• MIRAGE
• 2011

We present a multi-view alpha matting method that requires no user input and is able to deal with any arbitrary scene geometry through the use of depth maps. The algorithm uses multiple observations… (More)

Robust loop closures for scene reconstruction by combining odometry and visual correspondences

• Zakaria Laskar, Sami Huttunen, C. Herrera DanielHerrera, Esa Rahtu, Juho Kannala
• IEEE International Conference on Image Processing…
• 2016

Given an image sequence and odometry from a moving camera, we propose a batch-based approach for robust reconstruction of scene structure and camera motion. A key part of our method is robust loop… (More)

Joint Depth and Color Camera Calibration with Distortion Correction

• C. Herrera DanielHerrera, Juho Kannala, Janne Heikkilä
• IEEE Transactions on Pattern Analysis and Machine…
• 2012

We present an algorithm that simultaneously calibrates two color cameras, a depth camera, and the relative pose between them. The method is designed to have three key features: accurate, practical,… (More)

Forget the checkerboard: Practical self-calibration using a planar scene

• C. Herrera DanielHerrera, Juho Kannala, Janne Heikkilä
• IEEE Winter Conference on Applications of…
• 2016

We introduce a camera self-calibration method using a planar scene of unknown texture. Planar surfaces are everywhere but checkerboards are not, thus the method can be more easily applied outside the… (More)

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