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title
Accurate Estimation of Body Height from a Single Depth Image via a Four-Stage Developing Network
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depth2height
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2026-02-21 01:36:05
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Accurate Estimation of Body Height from a Single Depth Image via a Four-Stage Developing Network | depth2height.github.io depth2height.github.io depth2height Follow me on GitHub Accurate Estimation of Body Height from a Single Depth Image via a Four-Stage Developing Network Dataset Introduction We use a Kinect camera to create a human body dataset with 2136 RGB-D images which consists of 10 postures, including upright, walking, sitting, bending, arms raising slightly, unrolling arms, arms over head, waving hands, clapping and having a waistline. There are 14 volunteers in our dataset. They can stand anywhere with arbitrary clothes. Their heights ranges from 158cm to 184cm, which covers a wide range of height. The following figure shows some examples: Composition and Division of Our Dataset Our entire dataset is divided into three parts: part A, B and C. Part A is the training set with 1707 images. partB and C together forms the test set with totally 429 image...
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