This paper presents a vision-based meat recognition system intended for cooking robots in
the Japanese barbeque or 'yakiniku'practice. The objective of the recognition system is to …

Recognizing food images is different from general object recognition tasks due to various
factors. In food images, many types of ingredients don't have a unique spatial layout, and the …

To ensure proper knowledge representation of the kitchen environment, it is vital for kitchen
robots to recognize the states of the food items that are being cooked. Although the domain …

A kitchen robot properly needs to understand the cooking environment to continue any
cooking activities. But object's state detection has not been researched well so far as like …

In order to perform automated tasks such as cooking, an agent (robot) must have a good
understanding of cooking objects, and interaction between numerous cooking objects to …

In robotics, knowing the object states and recognizing the desired states are very important.
Objects at different states would require different grasping. To achieve different states …

This research work proposes a food image recognition model. This paper proposes a model
constituting CNN with PSO and GA that aims to increase the accuracy. CNN as a classifier …

An important task that domestic robots need to achieve is the recognition of states of food
ingredients so they can continue their cooking actions. This project focuses on a fine-tuning …

近年来, 食品图像识别由于在健康饮食管理, 无人餐厅等领域的广泛应用而受到了越来越多的
关注. 不同于其他物体识别任务, 食品图像属于细粒度图像, 具有较高的类内差异性和类间相似性 …

In this paper, we report the feature obtained from the Deep Convolutional Neural Network
boosts food recognition accuracy greatly by integrating it with conventional hand-crafted …