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Daryl Tan
Daryl Tan

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Published in Towards Data Science

·Feb 11, 2021

Uncertainty In Depth Estimation

Are you sure about your predicted depth? —

Depth

9 min read

Uncertainty In Depth Estimation
Uncertainty In Depth Estimation
Depth

9 min read


Published in Towards Data Science

·May 14, 2020

A Hands-On Application of Homography: IPM

Correcting Perspectivity — Homography based IPM In computer vision, homography is a transformation matrix H when applied on a projective plane maps it to another plane (or image). In the case of Inverse Perspective Mapping (IPM), we want to produce a birds-eye view image of the scene from the front-facing image plane. In the field of…

Mathematics

8 min read

A Hands-On Application of Homography: IPM
A Hands-On Application of Homography: IPM
Mathematics

8 min read


Published in The Startup

·Apr 1, 2020

FCOS Walkthrough: The Fully Convolutional Approach to Object Detection

Going anchor-free for object detection — Introduction Since the development of convolutional neural networks, object detection has been dominating by anchor-based methods such as FasterRCNN, RetinaNet and SSD. These methods rely on a large number of preset anchors tiled onto the image. Each anchor predicting if an object is contained and the refinement of the coordinates. Recently…

Deep Learning

10 min read

FCOS Walkthrough: The Fully Convolutional Approach to Object Detection
FCOS Walkthrough: The Fully Convolutional Approach to Object Detection
Deep Learning

10 min read


Published in Towards Data Science

·Feb 26, 2020

SFM Self Supervised Depth Estimation: Breaking Down The Ideas

Learning depth without manual annotation — 1. Overview This post was last updated on 10/08/2020

Deep Learning

14 min read

SFM Self Supervised Depth Estimation: Breaking down the ideas
SFM Self Supervised Depth Estimation: Breaking down the ideas
Deep Learning

14 min read


Published in Towards Data Science

·Feb 14, 2020

Depth Estimation: Basics and Intuition

Depth Is Essential For 3D Vision Measuring distance relative to a camera remains difficult but absolutely key to unlocking exciting applications such as autonomous driving, 3D scene reconstruction and AR. In robotics, depth is a key prerequisite to perform multiple tasks such as perception, navigation, and planning. Creating a 3D map would be another interesting application…

Machine Learning

14 min read

Depth Estimation: Basics and Intuition
Depth Estimation: Basics and Intuition
Machine Learning

14 min read


Published in The Startup

·Jan 30, 2020

Camera-Lidar Projection: Navigating between 2D and 3D

Lidars and cameras are two essential sensors for perception and scene understanding. They build an environment in tandem and provide a means for detection and localisation of other objects, giving robots rich semantic information required for safe navigation. Many researchers have started exploring multi-modal approaches for precise 3D object detection…

Machine Learning

8 min read

Camera-Lidar Projection: Navigating between 2D and 3D
Camera-Lidar Projection: Navigating between 2D and 3D
Machine Learning

8 min read


Published in Towards Data Science

·Dec 15, 2019

Inverse Projection Transformation

Depth and Inverse Projection When an image of a scene is captured by a camera, we lose depth information as objects and points in 3D space are mapped onto a 2D image plane. …

Virtual Reality

7 min read

Inverse Projection Transformation
Inverse Projection Transformation
Virtual Reality

7 min read


Published in Towards Data Science

·Nov 21, 2019

Image Geometric Transformation In Numpy and OpenCV

The math and code behind Image warping — Geometric transformation is pervasive in Computer Vision Geometric transformation is an essential image processing techniques that have wide applications. For example, a simple use case would be in computer graphics to simply rescale the graphics content when displaying it on a desktop vs mobile. It could also be applied to projectively warp an image to another image…

Machine Learning

9 min read

Image Geometric Transformation In Numpy and OpenCV
Image Geometric Transformation In Numpy and OpenCV
Machine Learning

9 min read

Daryl Tan

Daryl Tan

415 Followers

AV Machine Learning Engineer

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